{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}/Users/annaharvey/Public Safety Lab Dropbox/PubAccom/Replication Files/public_accommodations_replication.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}18 Nov 2019, 14:31:50
{txt}
{com}. 
. 
. *Table 2 
. 
. ttest weighttrimmedpre if usct==1 & usct_rd_sample==1, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    282{col 22} 152.4977{col 34} 1.187545{col 46} 19.94227{col 58} 150.1601{col 70} 154.8353
       {txt}1 {c |}{res}{col 12}    142{col 22} 154.2717{col 34} 1.536406{col 46}  18.3084{col 58} 151.2343{col 70} 157.3091
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    424{col 22} 153.0918{col 34}  .942478{col 46} 19.40681{col 58} 151.2393{col 70} 154.9443
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-1.774019{col 34} 1.997454{col 58}-5.700217{col 70}  2.15218
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.8881
{txt}Ho: diff = 0                                     degrees of freedom = {res}     422

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1875         {txt}Pr(|T| > |t|) = {res}0.3750          {txt}Pr(T > t) = {res}0.8125
{txt}
{com}. ttest weighttrimmedpre if usct==1 & usct_rd_sample==1 & distancemean7987<=300, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    247{col 22} 152.8749{col 34} 1.253388{col 46} 19.69854{col 58} 150.4062{col 70} 155.3436
       {txt}1 {c |}{res}{col 12}    123{col 22} 155.4804{col 34} 1.593158{col 46} 17.66898{col 58} 152.3265{col 70} 158.6342
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    370{col 22}  153.741{col 34} .9910642{col 46}  19.0635{col 58} 151.7922{col 70} 155.6899
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-2.605454{col 34} 2.102264{col 58}-6.739412{col 70} 1.528504
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -1.2394
{txt}Ho: diff = 0                                     degrees of freedom = {res}     368

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1080         {txt}Pr(|T| > |t|) = {res}0.2160          {txt}Pr(T > t) = {res}0.8920
{txt}
{com}. ttest weighttrimmedpre if usct==1 & usct_rd_sample==1 & distancemean7987<=200, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    196{col 22} 152.6872{col 34} 1.375368{col 46} 19.25515{col 58} 149.9747{col 70} 155.3997
       {txt}1 {c |}{res}{col 12}    101{col 22} 155.2285{col 34} 1.716565{col 46} 17.25127{col 58} 151.8229{col 70} 158.6342
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    297{col 22} 153.5514{col 34} 1.079731{col 46} 18.60774{col 58} 151.4265{col 70} 155.6763
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-2.541388{col 34} 2.278264{col 58}-7.025099{col 70} 1.942322
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -1.1155
{txt}Ho: diff = 0                                     degrees of freedom = {res}     295

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1328         {txt}Pr(|T| > |t|) = {res}0.2655          {txt}Pr(T > t) = {res}0.8672
{txt}
{com}. 
. ttest heighttrimmedpre if usct==1 & usct_rd_sample==1, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    282{col 22} 67.85783{col 34} .1645201{col 46} 2.762763{col 58} 67.53398{col 70} 68.18168
       {txt}1 {c |}{res}{col 12}    142{col 22} 67.68398{col 34} .2346113{col 46} 2.795716{col 58} 67.22017{col 70} 68.14779
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    424{col 22} 67.79961{col 34} .1346083{col 46} 2.771754{col 58} 67.53502{col 70} 68.06419
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .1738521{col 34}  .285425{col 58}-.3871797{col 70} .7348838
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.6091
{txt}Ho: diff = 0                                     degrees of freedom = {res}     422

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7286         {txt}Pr(|T| > |t|) = {res}0.5428          {txt}Pr(T > t) = {res}0.2714
{txt}
{com}. ttest heighttrimmedpre if usct==1 & usct_rd_sample==1 & distancemean7987<=300, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    247{col 22} 67.89639{col 34} .1753134{col 46} 2.755266{col 58} 67.55108{col 70}  68.2417
       {txt}1 {c |}{res}{col 12}    123{col 22} 67.80589{col 34} .2555667{col 46} 2.834372{col 58} 67.29997{col 70} 68.31181
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    370{col 22} 67.86631{col 34} .1444368{col 46} 2.778297{col 58} 67.58228{col 70} 68.15033
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0904957{col 34} .3069845{col 58}-.5131683{col 70} .6941596
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.2948
{txt}Ho: diff = 0                                     degrees of freedom = {res}     368

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6158         {txt}Pr(|T| > |t|) = {res}0.7683          {txt}Pr(T > t) = {res}0.3842
{txt}
{com}. ttest heighttrimmedpre if usct==1 & usct_rd_sample==1 & distancemean7987<=200, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    196{col 22} 67.81395{col 34} .2016608{col 46} 2.823251{col 58} 67.41623{col 70} 68.21166
       {txt}1 {c |}{res}{col 12}    101{col 22} 67.76361{col 34} .2849305{col 46} 2.863516{col 58} 67.19832{col 70} 68.32891
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    297{col 22} 67.79683{col 34} .1643449{col 46} 2.832269{col 58}  67.4734{col 70} 68.12026
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0503317{col 34} .3474909{col 58}-.6335436{col 70} .7342069
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.1448
{txt}Ho: diff = 0                                     degrees of freedom = {res}     295

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5575         {txt}Pr(|T| > |t|) = {res}0.8849          {txt}Pr(T > t) = {res}0.4425
{txt}
{com}. 
. ttest agetrimmedpre if usct==1 & usct_rd_sample==1, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    282{col 22} 45.37329{col 34} .5183836{col 46} 8.705141{col 58} 44.35288{col 70} 46.39369
       {txt}1 {c |}{res}{col 12}    142{col 22} 45.35211{col 34} .7167126{col 46} 8.540616{col 58} 43.93522{col 70}   46.769
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    424{col 22} 45.36619{col 34} .4196097{col 46} 8.640292{col 58} 44.54142{col 70} 46.19097
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0211734{col 34} .8901358{col 58}-1.728479{col 70} 1.770826
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.0238
{txt}Ho: diff = 0                                     degrees of freedom = {res}     422

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5095         {txt}Pr(|T| > |t|) = {res}0.9810          {txt}Pr(T > t) = {res}0.4905
{txt}
{com}. ttest agetrimmedpre if usct==1 & usct_rd_sample==1 & distancemean7987<=300, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    247{col 22} 45.15088{col 34} .5536564{col 46} 8.701393{col 58} 44.06037{col 70} 46.24139
       {txt}1 {c |}{res}{col 12}    123{col 22} 45.42683{col 34} .7565427{col 46} 8.390464{col 58} 43.92918{col 70} 46.92448
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    370{col 22} 45.24261{col 34} .4465149{col 46} 8.588885{col 58} 44.36458{col 70} 46.12065
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2759521{col 34} .9490214{col 58}-2.142137{col 70} 1.590233
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.2908
{txt}Ho: diff = 0                                     degrees of freedom = {res}     368

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3857         {txt}Pr(|T| > |t|) = {res}0.7714          {txt}Pr(T > t) = {res}0.6143
{txt}
{com}. ttest agetrimmedpre if usct==1 & usct_rd_sample==1 & distancemean7987<=200, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    196{col 22} 44.95459{col 34} .6225366{col 46} 8.715512{col 58} 43.72682{col 70} 46.18236
       {txt}1 {c |}{res}{col 12}    101{col 22} 44.47525{col 34}  .745291{col 46} 7.490082{col 58} 42.99661{col 70} 45.95388
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    297{col 22} 44.79158{col 34} .4821605{col 46} 8.309404{col 58} 43.84269{col 70} 45.74048
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .4793443{col 34} 1.019134{col 58}-1.526351{col 70}  2.48504
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.4703
{txt}Ho: diff = 0                                     degrees of freedom = {res}     295

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6808         {txt}Pr(|T| > |t|) = {res}0.6385          {txt}Pr(T > t) = {res}0.3192
{txt}
{com}. 
. ttest preweightdiffmean if usct==1 & usct_rd_sample==1, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    139{col 22}-.4676263{col 34} 1.215003{col 46} 14.32468{col 58}-2.870057{col 70} 1.934804
       {txt}1 {c |}{res}{col 12}     43{col 22} 1.081395{col 34} 2.354276{col 46} 15.43802{col 58}-3.669726{col 70} 5.832517
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    182{col 22}-.1016486{col 34} 1.079751{col 46} 14.56664{col 58}-2.232168{col 70} 2.028871
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-1.549022{col 34} 2.546306{col 58}-6.573471{col 70} 3.475428
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.6083
{txt}Ho: diff = 0                                     degrees of freedom = {res}     180

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2719         {txt}Pr(|T| > |t|) = {res}0.5437          {txt}Pr(T > t) = {res}0.7281
{txt}
{com}. ttest preweightdiffmean if usct==1 & usct_rd_sample==1 & distancemean7987<=300, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    119{col 22}-.4159668{col 34} 1.383378{col 46} 15.09087{col 58}-3.155432{col 70} 2.323498
       {txt}1 {c |}{res}{col 12}     39{col 22}-.7564103{col 34} 1.123884{col 46} 7.018652{col 58}-3.031594{col 70} 1.518773
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    158{col 22}-.5000003{col 34} 1.076528{col 46} 13.53175{col 58}-2.626347{col 70} 1.626347
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .3404434{col 34} 2.504601{col 58}-4.606864{col 70}  5.28775
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.1359
{txt}Ho: diff = 0                                     degrees of freedom = {res}     156

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5540         {txt}Pr(|T| > |t|) = {res}0.8921          {txt}Pr(T > t) = {res}0.4460
{txt}
{com}. ttest preweightdiffmean if usct==1 & usct_rd_sample==1 & distancemean7987<=200, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     96{col 22}-.6041669{col 34} 1.603175{col 46} 15.70785{col 58}-3.786872{col 70} 2.578538
       {txt}1 {c |}{res}{col 12}     32{col 22} -.515625{col 34} 1.205976{col 46} 6.822028{col 58}-2.975229{col 70} 1.943979
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    128{col 22}-.5820314{col 34}  1.23721{col 46} 13.99744{col 58}-3.030247{col 70} 1.866185
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0885419{col 34}  2.86852{col 58}-5.765258{col 70} 5.588175
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.0309
{txt}Ho: diff = 0                                     degrees of freedom = {res}     126

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4877         {txt}Pr(|T| > |t|) = {res}0.9754          {txt}Pr(T > t) = {res}0.5123
{txt}
{com}. 
. ttest urban7983mean if usct==1 & usct_rd_sample==1, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    282{col 22}  .403757{col 34} .0180455{col 46}  .303035{col 58} .3682355{col 70} .4392785
       {txt}1 {c |}{res}{col 12}    142{col 22} .2179104{col 34} .0216291{col 46} .2577402{col 58} .1751512{col 70} .2606696
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    424{col 22} .3415159{col 34} .0146386{col 46} .3014265{col 58} .3127425{col 70} .3702893
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .1858466{col 34} .0297064{col 58} .1274557{col 70} .2442375
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  6.2561
{txt}Ho: diff = 0                                     degrees of freedom = {res}     422

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}0.0000
{txt}
{com}. ttest urban7983mean if usct==1 & usct_rd_sample==1 & distancemean7987<=300, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    247{col 22} .4057687{col 34} .0187872{col 46} .2952643{col 58} .3687644{col 70} .4427731
       {txt}1 {c |}{res}{col 12}    123{col 22} .1805561{col 34} .0211318{col 46} .2343626{col 58} .1387237{col 70} .2223885
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    370{col 22} .3309008{col 34}  .015384{col 46} .2959171{col 58} .3006494{col 70} .3611521
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .2252126{col 34} .0305208{col 58} .1651956{col 70} .2852297
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  7.3790
{txt}Ho: diff = 0                                     degrees of freedom = {res}     368

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}0.0000
{txt}
{com}. ttest urban7983mean if usct==1 & usct_rd_sample==1 & distancemean7987<=200, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    196{col 22}   .40962{col 34} .0214601{col 46}  .300441{col 58} .3672963{col 70} .4519436
       {txt}1 {c |}{res}{col 12}    101{col 22} .2055961{col 34} .0245573{col 46}  .246798{col 58} .1568751{col 70} .2543171
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    297{col 22} .3402381{col 34} .0173512{col 46} .2990246{col 58} .3060908{col 70} .3743854
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .2040239{col 34} .0347124{col 58} .1357086{col 70} .2723392
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  5.8776
{txt}Ho: diff = 0                                     degrees of freedom = {res}     295

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}0.0000
{txt}
{com}. 
. ttest manufoutput7983mean if usct==1 & usct_rd_sample==1, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    282{col 22} 127.8686{col 34} 6.366601{col 46} 106.9134{col 58} 115.3363{col 70} 140.4009
       {txt}1 {c |}{res}{col 12}    142{col 22} 46.61337{col 34} 4.680346{col 46} 55.77276{col 58} 37.36064{col 70} 55.86609
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    424{col 22} 100.6558{col 34} 4.881687{col 46} 100.5201{col 58} 91.06038{col 70} 110.2511
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} 81.25523{col 34} 9.570567{col 58} 62.44331{col 70} 100.0671
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  8.4901
{txt}Ho: diff = 0                                     degrees of freedom = {res}     422

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}0.0000
{txt}
{com}. ttest manufoutput7983mean if usct==1 & usct_rd_sample==1 & distancemean7987<=300, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    247{col 22}    122.8{col 34} 6.444768{col 46} 101.2875{col 58}  110.106{col 70} 135.4939
       {txt}1 {c |}{res}{col 12}    123{col 22}  47.7129{col 34}  5.32831{col 46} 59.09381{col 58} 37.16498{col 70} 58.26082
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    370{col 22} 97.83859{col 34} 4.999621{col 46} 96.16962{col 58} 88.00727{col 70} 107.6699
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} 75.08706{col 34} 9.880323{col 58} 55.65809{col 70} 94.51604
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  7.5997
{txt}Ho: diff = 0                                     degrees of freedom = {res}     368

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}0.0000
{txt}
{com}. ttest manufoutput7983mean if usct==1 & usct_rd_sample==1 & distancemean7987<=200, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    196{col 22}  115.677{col 34}  7.18424{col 46} 100.5794{col 58} 101.5083{col 70} 129.8458
       {txt}1 {c |}{res}{col 12}    101{col 22} 54.71896{col 34} 6.252436{col 46}  62.8362{col 58} 42.31431{col 70} 67.12362
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    297{col 22} 94.94719{col 34} 5.454141{col 46} 93.99496{col 58} 84.21339{col 70}  105.681
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} 60.95809{col 34} 10.97295{col 58}  39.3629{col 70} 82.55327
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  5.5553
{txt}Ho: diff = 0                                     degrees of freedom = {res}     295

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}0.0000
{txt}
{com}. 
. ttest propfarm7983mean if usct==1 & usct_rd_sample==1, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    282{col 22} .7880146{col 34} .0127481{col 46} .2140767{col 58} .7629207{col 70} .8131085
       {txt}1 {c |}{res}{col 12}    142{col 22} .7027233{col 34}  .018746{col 46} .2233849{col 58} .6656636{col 70} .7397829
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    424{col 22}   .75945{col 34} .0107174{col 46} .2206854{col 58}  .738384{col 70} .7805161
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0852913{col 34}  .022353{col 58} .0413542{col 70} .1292285
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  3.8157
{txt}Ho: diff = 0                                     degrees of freedom = {res}     422

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9999         {txt}Pr(|T| > |t|) = {res}0.0002          {txt}Pr(T > t) = {res}0.0001
{txt}
{com}. ttest propfarm7983mean if usct==1 & usct_rd_sample==1 & distancemean7987<=300, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    247{col 22} .8079913{col 34} .0122623{col 46} .1927176{col 58} .7838387{col 70} .8321438
       {txt}1 {c |}{res}{col 12}    123{col 22} .7527304{col 34} .0155834{col 46} .1728287{col 58} .7218814{col 70} .7835794
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    370{col 22} .7896208{col 34} .0097697{col 46} .1879235{col 58} .7704096{col 70}  .808832
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0552609{col 34} .0205661{col 58} .0148191{col 70} .0957026
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  2.6870
{txt}Ho: diff = 0                                     degrees of freedom = {res}     368

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9962         {txt}Pr(|T| > |t|) = {res}0.0075          {txt}Pr(T > t) = {res}0.0038
{txt}
{com}. ttest propfarm7983mean if usct==1 & usct_rd_sample==1 & distancemean7987<=200, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    196{col 22} .7879175{col 34} .0146297{col 46} .2048162{col 58} .7590647{col 70} .8167703
       {txt}1 {c |}{res}{col 12}    101{col 22} .7820626{col 34} .0158255{col 46} .1590447{col 58} .7506651{col 70}   .81346
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    297{col 22} .7859264{col 34} .0110385{col 46} .1902345{col 58} .7642025{col 70} .8076504
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0058549{col 34} .0233382{col 58}-.0400755{col 70} .0517854
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.2509
{txt}Ho: diff = 0                                     degrees of freedom = {res}     295

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5990         {txt}Pr(|T| > |t|) = {res}0.8021          {txt}Pr(T > t) = {res}0.4010
{txt}
{com}. 
. ttest pctblack7983mean if usct==1 & usct_rd_sample==1, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    282{col 22} .0585632{col 34} .0051339{col 46} .0862124{col 58} .0484575{col 70}  .068669
       {txt}1 {c |}{res}{col 12}    142{col 22}  .347019{col 34} .0171293{col 46} .2041192{col 58} .3131556{col 70} .3808825
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    424{col 22} .1551687{col 34} .0093923{col 46} .1933993{col 58} .1367073{col 70} .1736301
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2884558{col 34} .0141353{col 58}  -.31624{col 70}-.2606715
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}-20.4068
{txt}Ho: diff = 0                                     degrees of freedom = {res}     422

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. ttest pctblack7983mean if usct==1 & usct_rd_sample==1 & distancemean7987<=300, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    247{col 22} .0658747{col 34} .0057096{col 46} .0897329{col 58} .0546288{col 70} .0771205
       {txt}1 {c |}{res}{col 12}    123{col 22} .3092129{col 34} .0162641{col 46} .1803778{col 58} .2770165{col 70} .3414094
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    370{col 22} .1467682{col 34} .0088991{col 46} .1711769{col 58} .1292689{col 70} .1642674
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2433383{col 34} .0140327{col 58}-.2709326{col 70}-.2157439
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}-17.3408
{txt}Ho: diff = 0                                     degrees of freedom = {res}     368

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. ttest pctblack7983mean if usct==1 & usct_rd_sample==1 & distancemean7987<=200, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    196{col 22} .0787473{col 34} .0068773{col 46} .0962821{col 58} .0651839{col 70} .0923107
       {txt}1 {c |}{res}{col 12}    101{col 22}  .288562{col 34} .0162699{col 46} .1635104{col 58}  .256283{col 70}  .320841
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    297{col 22} .1500985{col 34} .0091843{col 46} .1582792{col 58} .1320237{col 70} .1681732
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2098147{col 34} .0150966{col 58}-.2395254{col 70}-.1801041
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}-13.8982
{txt}Ho: diff = 0                                     degrees of freedom = {res}     295

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. 
. ttest weighttrimmedpre if usct==0 & ua_rd_sample==1, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  7,316{col 22} 148.2796{col 34} .2171101{col 46} 18.57021{col 58}  147.854{col 70} 148.7052
       {txt}1 {c |}{res}{col 12}    519{col 22} 146.8276{col 34} .8759919{col 46} 19.95647{col 58} 145.1067{col 70} 148.5486
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  7,835{col 22} 148.1834{col 34} .2108937{col 46} 18.66737{col 58}   147.77{col 70} 148.5969
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} 1.452013{col 34} .8478684{col 58}-.2100354{col 70} 3.114061
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.7125
{txt}Ho: diff = 0                                     degrees of freedom = {res}    7833

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9566         {txt}Pr(|T| > |t|) = {res}0.0868          {txt}Pr(T > t) = {res}0.0434
{txt}
{com}. ttest weighttrimmedpre if usct==0 & ua_rd_sample==1 & distancemean7987<=300, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  5,624{col 22} 148.1504{col 34}  .247509{col 46} 18.56152{col 58} 147.6652{col 70} 148.6356
       {txt}1 {c |}{res}{col 12}    489{col 22} 146.6678{col 34} .9220597{col 46} 20.38982{col 58} 144.8561{col 70} 148.4795
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  6,113{col 22} 148.0318{col 34} .2393902{col 46} 18.71688{col 58} 147.5625{col 70} 148.5011
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} 1.482638{col 34} .8823051{col 58}-.2469907{col 70} 3.212267
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.6804
{txt}Ho: diff = 0                                     degrees of freedom = {res}    6111

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9535         {txt}Pr(|T| > |t|) = {res}0.0929          {txt}Pr(T > t) = {res}0.0465
{txt}
{com}. ttest weighttrimmedpre if usct==0 & ua_rd_sample==1 & distancemean7987<=200, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  4,354{col 22} 148.6266{col 34} .2834269{col 46} 18.70188{col 58} 148.0709{col 70} 149.1823
       {txt}1 {c |}{res}{col 12}    479{col 22} 146.6337{col 34} .9393711{col 46} 20.55914{col 58} 144.7879{col 70} 148.4795
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  4,833{col 22} 148.4291{col 34} .2718825{col 46} 18.90121{col 58} 147.8961{col 70} 148.9621
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} 1.992915{col 34} .9095266{col 58} .2098287{col 70} 3.776001
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  2.1912
{txt}Ho: diff = 0                                     degrees of freedom = {res}    4831

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9858         {txt}Pr(|T| > |t|) = {res}0.0285          {txt}Pr(T > t) = {res}0.0142
{txt}
{com}. 
. ttest heighttrimmedpre if usct==0 & ua_rd_sample==1, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  3,434{col 22} 68.29567{col 34}  .045685{col 46} 2.677156{col 58}  68.2061{col 70} 68.38524
       {txt}1 {c |}{res}{col 12}    232{col 22} 68.66884{col 34} .1667843{col 46} 2.540382{col 58} 68.34022{col 70} 68.99745
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  3,666{col 22} 68.31929{col 34} .0440963{col 46} 2.669923{col 58} 68.23283{col 70} 68.40574
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.3731665{col 34} .1810333{col 58}-.7281024{col 70}-.0182305
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -2.0613
{txt}Ho: diff = 0                                     degrees of freedom = {res}    3664

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0197         {txt}Pr(|T| > |t|) = {res}0.0393          {txt}Pr(T > t) = {res}0.9803
{txt}
{com}. ttest heighttrimmedpre if usct==0 & ua_rd_sample==1 & distancemean7987<=300, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  2,622{col 22}  68.3251{col 34}  .053056{col 46} 2.716759{col 58} 68.22106{col 70} 68.42914
       {txt}1 {c |}{res}{col 12}    219{col 22} 68.70169{col 34} .1736482{col 46} 2.569759{col 58} 68.35945{col 70} 69.04393
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  2,841{col 22} 68.35413{col 34} .0507897{col 46} 2.707143{col 58} 68.25454{col 70} 68.45372
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.3765904{col 34} .1903205{col 58}-.7497708{col 70}-.0034099
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -1.9787
{txt}Ho: diff = 0                                     degrees of freedom = {res}    2839

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0240         {txt}Pr(|T| > |t|) = {res}0.0479          {txt}Pr(T > t) = {res}0.9760
{txt}
{com}. ttest heighttrimmedpre if usct==0 & ua_rd_sample==1 & distancemean7987<=200, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  2,009{col 22} 68.48635{col 34} .0610617{col 46}   2.7369{col 58}  68.3666{col 70}  68.6061
       {txt}1 {c |}{res}{col 12}    215{col 22}   68.738{col 34} .1741454{col 46} 2.553473{col 58} 68.39474{col 70} 69.08126
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  2,224{col 22} 68.51067{col 34} .0576806{col 46} 2.720178{col 58} 68.39756{col 70} 68.62379
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2516536{col 34}   .19516{col 58}-.6343686{col 70} .1310614
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -1.2895
{txt}Ho: diff = 0                                     degrees of freedom = {res}    2222

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0987         {txt}Pr(|T| > |t|) = {res}0.1974          {txt}Pr(T > t) = {res}0.9013
{txt}
{com}. 
. ttest agetrimmedpre if usct==0 & ua_rd_sample==1, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  3,434{col 22} 45.73886{col 34} .1438367{col 46} 8.428878{col 58} 45.45685{col 70} 46.02088
       {txt}1 {c |}{res}{col 12}    232{col 22} 45.56466{col 34} .5549953{col 46} 8.453437{col 58} 44.47116{col 70} 46.65815
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  3,666{col 22} 45.72784{col 34} .1392194{col 46} 8.429385{col 58} 45.45488{col 70} 46.00079
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .1742063{col 34} .5718758{col 58}-.9470202{col 70} 1.295433
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.3046
{txt}Ho: diff = 0                                     degrees of freedom = {res}    3664

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6197         {txt}Pr(|T| > |t|) = {res}0.7607          {txt}Pr(T > t) = {res}0.3803
{txt}
{com}. ttest agetrimmedpre if usct==0 & ua_rd_sample==1 & distancemean7987<=300, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  2,622{col 22} 45.48827{col 34} .1621709{col 46} 8.304037{col 58} 45.17028{col 70} 45.80627
       {txt}1 {c |}{res}{col 12}    219{col 22} 45.78995{col 34} .5722341{col 46} 8.468291{col 58} 44.66213{col 70} 46.91777
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  2,841{col 22} 45.51153{col 34} .1560137{col 46}  8.31569{col 58} 45.20562{col 70} 45.81744
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} -.301682{col 34} .5849943{col 58}-1.448739{col 70} .8453748
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.5157
{txt}Ho: diff = 0                                     degrees of freedom = {res}    2839

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3031         {txt}Pr(|T| > |t|) = {res}0.6061          {txt}Pr(T > t) = {res}0.6969
{txt}
{com}. ttest agetrimmedpre if usct==0 & ua_rd_sample==1 & distancemean7987<=200, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  2,009{col 22} 45.21018{col 34}  .180858{col 46} 8.106393{col 58} 44.85549{col 70} 45.56487
       {txt}1 {c |}{res}{col 12}    215{col 22} 45.75814{col 34} .5802346{col 46}  8.50791{col 58} 44.61443{col 70} 46.90185
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  2,224{col 22} 45.26315{col 34} .1727274{col 46} 8.145702{col 58} 44.92443{col 70} 45.60188
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.5479603{col 34} .5845189{col 58}-1.694221{col 70}    .5983
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.9375
{txt}Ho: diff = 0                                     degrees of freedom = {res}    2222

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1743         {txt}Pr(|T| > |t|) = {res}0.3486          {txt}Pr(T > t) = {res}0.8257
{txt}
{com}. 
. ttest preweightdiffmean if usct==0 & ua_rd_sample==1, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  4,290{col 22} .0656177{col 34} .1394862{col 46}  9.13608{col 58}-.2078474{col 70} .3390828
       {txt}1 {c |}{res}{col 12}    248{col 22}-1.177419{col 34} .5277371{col 46} 8.310813{col 58}-2.216858{col 70}-.1379805
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  4,538{col 22}-.0023138{col 34}  .135033{col 46} 9.096457{col 58}-.2670443{col 70} .2624167
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} 1.243037{col 34} .5938657{col 58}  .078771{col 70} 2.407303
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  2.0931
{txt}Ho: diff = 0                                     degrees of freedom = {res}    4536

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9818         {txt}Pr(|T| > |t|) = {res}0.0364          {txt}Pr(T > t) = {res}0.0182
{txt}
{com}. ttest preweightdiffmean if usct==0 & ua_rd_sample==1 & distancemean7987<=300, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  3,306{col 22} .0346339{col 34} .1518778{col 46} 8.732641{col 58}-.2631501{col 70} .3324179
       {txt}1 {c |}{res}{col 12}    235{col 22}-1.140426{col 34} .5544767{col 46} 8.499966{col 58} -2.23283{col 70}-.0480213
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  3,541{col 22}-.0433495{col 34}  .146558{col 46} 8.721124{col 58}-.3306961{col 70} .2439972
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} 1.175059{col 34} .5885278{col 58} .0211715{col 70} 2.328947
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.9966
{txt}Ho: diff = 0                                     degrees of freedom = {res}    3539

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9770         {txt}Pr(|T| > |t|) = {res}0.0459          {txt}Pr(T > t) = {res}0.0230
{txt}
{com}. ttest preweightdiffmean if usct==0 & ua_rd_sample==1 & distancemean7987<=200, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  2,512{col 22}-.4186902{col 34} .1659275{col 46} 8.316263{col 58} -.744059{col 70}-.0933215
       {txt}1 {c |}{res}{col 12}    235{col 22}-1.140426{col 34} .5544767{col 46} 8.499966{col 58} -2.23283{col 70}-.0480213
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  2,747{col 22}-.4804332{col 34}  .158991{col 46}  8.33301{col 58}-.7921872{col 70}-.1686791
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .7217353{col 34} .5683804{col 58}-.3927611{col 70} 1.836232
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.2698
{txt}Ho: diff = 0                                     degrees of freedom = {res}    2745

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8979         {txt}Pr(|T| > |t|) = {res}0.2043          {txt}Pr(T > t) = {res}0.1021
{txt}
{com}. 
. ttest manufoutput7983mean if usct==0 & ua_rd_sample==1, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  7,316{col 22}   93.461{col 34} .9997235{col 46} 85.50997{col 58} 91.50126{col 70} 95.42075
       {txt}1 {c |}{res}{col 12}    519{col 22} 33.47811{col 34} 1.752995{col 46} 39.93597{col 58} 30.03426{col 70} 36.92196
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  7,835{col 22} 89.48766{col 34} .9556583{col 46} 84.59061{col 58} 87.61432{col 70} 91.36101
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} 59.98289{col 34} 3.782572{col 58} 52.56804{col 70} 67.39775
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} 15.8577
{txt}Ho: diff = 0                                     degrees of freedom = {res}    7833

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}0.0000
{txt}
{com}. ttest manufoutput7983mean if usct==0 & ua_rd_sample==1 & distancemean7987<=300, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  5,624{col 22} 87.16985{col 34}   1.1123{col 46}  83.4151{col 58} 84.98931{col 70} 89.35038
       {txt}1 {c |}{res}{col 12}    489{col 22} 33.65698{col 34} 1.833321{col 46} 40.54086{col 58}  30.0548{col 70} 37.25915
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  6,113{col 22} 82.88917{col 34} 1.050297{col 46} 82.11818{col 58} 80.83021{col 70} 84.94812
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} 53.51287{col 34} 3.810914{col 58} 46.04214{col 70}  60.9836
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} 14.0420
{txt}Ho: diff = 0                                     degrees of freedom = {res}    6111

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}0.0000
{txt}
{com}. ttest manufoutput7983mean if usct==0 & ua_rd_sample==1 & distancemean7987<=200, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  4,354{col 22} 80.58986{col 34} 1.146772{col 46} 75.66957{col 58}  78.3416{col 70} 82.83812
       {txt}1 {c |}{res}{col 12}    479{col 22} 33.84842{col 34} 1.866703{col 46} 40.85479{col 58} 30.18046{col 70} 37.51638
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  4,833{col 22}  75.9573{col 34} 1.068568{col 46}  74.2866{col 58} 73.86242{col 70} 78.05218
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} 46.74144{col 34} 3.512654{col 58} 39.85504{col 70} 53.62784
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} 13.3066
{txt}Ho: diff = 0                                     degrees of freedom = {res}    4831

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}0.0000
{txt}
{com}. 
. ttest urban7983mean if usct==0 & ua_rd_sample==1, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  7,316{col 22} .2512814{col 34}  .002685{col 46}  .229661{col 58} .2460179{col 70} .2565448
       {txt}1 {c |}{res}{col 12}    519{col 22} .1404756{col 34} .0086321{col 46} .1966525{col 58} .1235174{col 70} .1574338
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  7,835{col 22} .2439415{col 34} .0025902{col 46} .2292739{col 58}  .238864{col 70}  .249019
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .1108058{col 34}   .01034{col 58} .0905366{col 70}  .131075
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} 10.7162
{txt}Ho: diff = 0                                     degrees of freedom = {res}    7833

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}0.0000
{txt}
{com}. ttest urban7983mean if usct==0 & ua_rd_sample==1 & distancemean7987<=300, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  5,624{col 22} .2518733{col 34} .0030543{col 46} .2290557{col 58} .2458856{col 70}  .257861
       {txt}1 {c |}{res}{col 12}    489{col 22} .1327617{col 34} .0083271{col 46} .1841394{col 58} .1164004{col 70} .1491231
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  6,113{col 22} .2423452{col 34} .0029172{col 46} .2280798{col 58} .2366265{col 70} .2480638
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .1191116{col 34} .0106456{col 58} .0982425{col 70} .1399806
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} 11.1888
{txt}Ho: diff = 0                                     degrees of freedom = {res}    6111

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}0.0000
{txt}
{com}. ttest urban7983mean if usct==0 & ua_rd_sample==1 & distancemean7987<=200, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  4,354{col 22} .2442654{col 34} .0033549{col 46} .2213745{col 58}  .237688{col 70} .2508427
       {txt}1 {c |}{res}{col 12}    479{col 22} .1329983{col 34} .0084408{col 46} .1847351{col 58} .1164127{col 70} .1495839
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  4,833{col 22} .2332377{col 34} .0031721{col 46} .2205226{col 58} .2270189{col 70} .2394564
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .1112671{col 34} .0104954{col 58} .0906912{col 70} .1318429
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} 10.6015
{txt}Ho: diff = 0                                     degrees of freedom = {res}    4831

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}1.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}0.0000
{txt}
{com}. 
. ttest propfarm7983mean if usct==0 & ua_rd_sample==1, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  7,316{col 22} .7926881{col 34} .0024087{col 46} .2060227{col 58} .7879664{col 70} .7974098
       {txt}1 {c |}{res}{col 12}    519{col 22} .7901294{col 34} .0106537{col 46} .2427073{col 58} .7691997{col 70} .8110591
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  7,835{col 22} .7925186{col 34} .0023571{col 46} .2086356{col 58} .7878982{col 70} .7971391
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0025588{col 34} .0094779{col 58}-.0160205{col 70}  .021138
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.2700
{txt}Ho: diff = 0                                     degrees of freedom = {res}    7833

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6064         {txt}Pr(|T| > |t|) = {res}0.7872          {txt}Pr(T > t) = {res}0.3936
{txt}
{com}. ttest propfarm7983mean if usct==0 & ua_rd_sample==1 & distancemean7987<=300, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  5,624{col 22} .8329901{col 34} .0022436{col 46} .1682551{col 58} .8285917{col 70} .8373884
       {txt}1 {c |}{res}{col 12}    489{col 22} .8121245{col 34}  .010251{col 46} .2266846{col 58} .7919829{col 70} .8322661
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  6,113{col 22} .8313209{col 34} .0022219{col 46} .1737229{col 58} .8269652{col 70} .8356767
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0208656{col 34} .0081868{col 58} .0048166{col 70} .0369145
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  2.5487
{txt}Ho: diff = 0                                     degrees of freedom = {res}    6111

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9946         {txt}Pr(|T| > |t|) = {res}0.0108          {txt}Pr(T > t) = {res}0.0054
{txt}
{com}. ttest propfarm7983mean if usct==0 & ua_rd_sample==1 & distancemean7987<=200, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  4,354{col 22} .8337439{col 34} .0025111{col 46} .1656936{col 58} .8288209{col 70} .8386669
       {txt}1 {c |}{res}{col 12}    479{col 22} .8168315{col 34} .0102632{col 46} .2246203{col 58}  .796665{col 70}  .836998
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  4,833{col 22} .8320677{col 34}  .002481{col 46} .1724804{col 58} .8272038{col 70} .8369317
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0169125{col 34} .0083003{col 58} .0006401{col 70} .0331849
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  2.0376
{txt}Ho: diff = 0                                     degrees of freedom = {res}    4831

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9792         {txt}Pr(|T| > |t|) = {res}0.0416          {txt}Pr(T > t) = {res}0.0208
{txt}
{com}. 
. ttest pctblack7983mean if usct==0 & ua_rd_sample==1, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  7,316{col 22} .0201573{col 34} .0006463{col 46}  .055278{col 58} .0188904{col 70} .0214242
       {txt}1 {c |}{res}{col 12}    519{col 22} .1177301{col 34} .0064364{col 46} .1466316{col 58} .1050854{col 70} .1303748
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  7,835{col 22} .0266206{col 34} .0007879{col 46} .0697413{col 58} .0250762{col 70} .0281651
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0975728{col 34} .0029702{col 58}-.1033952{col 70}-.0917503
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}-32.8503
{txt}Ho: diff = 0                                     degrees of freedom = {res}    7833

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. ttest pctblack7983mean if usct==0 & ua_rd_sample==1 & distancemean7987<=300, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  5,624{col 22} .0193732{col 34} .0003604{col 46} .0270274{col 58} .0186667{col 70} .0200797
       {txt}1 {c |}{res}{col 12}    489{col 22} .1097033{col 34} .0059602{col 46} .1317995{col 58} .0979925{col 70} .1214141
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  6,113{col 22}  .026599{col 34} .0006596{col 46} .0515712{col 58}  .025306{col 70} .0278921
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0903301{col 34} .0021395{col 58}-.0945243{col 70}-.0861359
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}-42.2201
{txt}Ho: diff = 0                                     degrees of freedom = {res}    6111

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. ttest pctblack7983mean if usct==0 & ua_rd_sample==1 & distancemean7987<=200, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  4,354{col 22} .0228828{col 34} .0004484{col 46} .0295891{col 58} .0220036{col 70} .0237619
       {txt}1 {c |}{res}{col 12}    479{col 22} .1050697{col 34} .0058044{col 46} .1270353{col 58} .0936644{col 70} .1164749
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  4,833{col 22} .0310283{col 34} .0007863{col 46} .0546661{col 58} .0294868{col 70} .0325699
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0821869{col 34} .0023513{col 58}-.0867964{col 70}-.0775773
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}-34.9545
{txt}Ho: diff = 0                                     degrees of freedom = {res}    4831

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0000         {txt}Pr(|T| > |t|) = {res}0.0000          {txt}Pr(T > t) = {res}1.0000
{txt}
{com}. 
. *Figures 2 and 3
. 
. preserve
{txt}
{com}. 
. keep if usct_rd_sample_mean==1 
{txt}(71,346 observations deleted)

{com}. bys recid: egen badstatemean=mean(badstate)
{txt}
{com}. twoway (lpolyci weighttrimmed sixmo if badstatemean==0 & sixmo<0, clpattern(dash) fcolor(%40) alalign(dash)) (lpolyci weighttrimmed sixmo if badstatemean==1  & sixmo<0, fcolor(%40)) (scatter weighttrimmed sixmo if badstatemean==0 & sixmo<0, msymbol(circle_hollow)) (scatter weighttrimmed sixmo if badstatemean==1  & sixmo<0)
{res}{p 0 4 2}
{txt}(note:  named style
dash not found in class
alignstroke,  default attributes used)
{p_end}
{p 0 4 2}
{txt}(note:  named style
dash not found in class
alignstroke,  default attributes used)
{p_end}
{res}{txt}
{com}. 
. restore
{txt}
{com}. 
. preserve
{txt}
{com}. 
. keep if ua_rd_sample_mean==1 
{txt}(64,741 observations deleted)

{com}. bys recid: egen badstatemean=mean(badstate)
{txt}
{com}. twoway (lpolyci weighttrimmed sixmo if badstatemean==0 & sixmo<0, clpattern(dash) fcolor(%40) alalign(dash)) (lpolyci weighttrimmed sixmo if badstatemean==1  & sixmo<0, fcolor(%40)) (scatter weighttrimmed sixmo if badstatemean==0 & sixmo<0, msymbol(circle_hollow)) (scatter weighttrimmed sixmo if badstatemean==1  & sixmo<0)
{res}{p 0 4 2}
{txt}(note:  named style
dash not found in class
alignstroke,  default attributes used)
{p_end}
{p 0 4 2}
{txt}(note:  named style
dash not found in class
alignstroke,  default attributes used)
{p_end}
{res}{txt}
{com}. 
. restore
{txt}
{com}. 
. *Table 3
. 
. eststo m1: reg weighttrimmed badstate_post i.year i.state_num if usct_rd_sample_mean==1 , cluster(distancemean_7987_20)

{txt}Linear regression                               Number of obs     = {res}     1,230
                                                {txt}{help j_robustsingular:F(38, 50) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0760
                                                {txt}Root MSE          =    {res} 20.299

{txt}{ralign 79:(Std. Err. adjusted for {res:51} clusters in distancemean_7987_20)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}weighttrimmed{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post {c |}{col 15}{res}{space 2}-2.797963{col 27}{space 2} 1.202883{col 38}{space 1}   -2.33{col 47}{space 3}0.024{col 55}{space 4}-5.214025{col 68}{space 3}-.3819013
{txt}{space 13} {c |}
{space 9}year {c |}
{space 8}1880  {c |}{col 15}{res}{space 2} 4.196643{col 27}{space 2}  6.52412{col 38}{space 1}    0.64{col 47}{space 3}0.523{col 55}{space 4}-8.907437{col 68}{space 3} 17.30072
{txt}{space 8}1881  {c |}{col 15}{res}{space 2} 5.474349{col 27}{space 2} 5.955715{col 38}{space 1}    0.92{col 47}{space 3}0.362{col 55}{space 4}-6.488056{col 68}{space 3} 17.43675
{txt}{space 8}1882  {c |}{col 15}{res}{space 2} 8.054018{col 27}{space 2} 6.347483{col 38}{space 1}    1.27{col 47}{space 3}0.210{col 55}{space 4}-4.695277{col 68}{space 3} 20.80331
{txt}{space 8}1883  {c |}{col 15}{res}{space 2} 6.132377{col 27}{space 2} 5.976991{col 38}{space 1}    1.03{col 47}{space 3}0.310{col 55}{space 4}-5.872762{col 68}{space 3} 18.13752
{txt}{space 8}1884  {c |}{col 15}{res}{space 2} 4.548638{col 27}{space 2}  6.28219{col 38}{space 1}    0.72{col 47}{space 3}0.472{col 55}{space 4}-8.069512{col 68}{space 3} 17.16679
{txt}{space 8}1885  {c |}{col 15}{res}{space 2} 8.959104{col 27}{space 2} 5.673491{col 38}{space 1}    1.58{col 47}{space 3}0.121{col 55}{space 4}-2.436437{col 68}{space 3} 20.35465
{txt}{space 8}1886  {c |}{col 15}{res}{space 2} 6.886307{col 27}{space 2} 5.450689{col 38}{space 1}    1.26{col 47}{space 3}0.212{col 55}{space 4}-4.061723{col 68}{space 3} 17.83434
{txt}{space 8}1887  {c |}{col 15}{res}{space 2}  11.5729{col 27}{space 2} 5.682352{col 38}{space 1}    2.04{col 47}{space 3}0.047{col 55}{space 4} .1595583{col 68}{space 3} 22.98624
{txt}{space 13} {c |}
{space 4}state_num {c |}
{space 11}3  {c |}{col 15}{res}{space 2} 11.59273{col 27}{space 2} 10.68355{col 38}{space 1}    1.09{col 47}{space 3}0.283{col 55}{space 4}-9.865804{col 68}{space 3} 33.05127
{txt}{space 11}9  {c |}{col 15}{res}{space 2}-4.118177{col 27}{space 2} 7.277118{col 38}{space 1}   -0.57{col 47}{space 3}0.574{col 55}{space 4} -18.7347{col 68}{space 3} 10.49834
{txt}{space 10}10  {c |}{col 15}{res}{space 2}-3.747485{col 27}{space 2}  8.01561{col 38}{space 1}   -0.47{col 47}{space 3}0.642{col 55}{space 4}-19.84731{col 68}{space 3} 12.35234
{txt}{space 10}11  {c |}{col 15}{res}{space 2}-2.328016{col 27}{space 2} 7.153484{col 38}{space 1}   -0.33{col 47}{space 3}0.746{col 55}{space 4}-16.69621{col 68}{space 3} 12.04018
{txt}{space 10}12  {c |}{col 15}{res}{space 2} 1.995153{col 27}{space 2} 7.477667{col 38}{space 1}    0.27{col 47}{space 3}0.791{col 55}{space 4}-13.02418{col 68}{space 3} 17.01449
{txt}{space 10}14  {c |}{col 15}{res}{space 2}-6.111821{col 27}{space 2} 7.085369{col 38}{space 1}   -0.86{col 47}{space 3}0.392{col 55}{space 4} -20.3432{col 68}{space 3} 8.119561
{txt}{space 10}18  {c |}{col 15}{res}{space 2}-2.694523{col 27}{space 2}  7.27476{col 38}{space 1}   -0.37{col 47}{space 3}0.713{col 55}{space 4}-17.30631{col 68}{space 3} 11.91726
{txt}{space 10}20  {c |}{col 15}{res}{space 2}-.0220199{col 27}{space 2} 11.32713{col 38}{space 1}   -0.00{col 47}{space 3}0.998{col 55}{space 4}-22.77322{col 68}{space 3} 22.72918
{txt}{space 10}21  {c |}{col 15}{res}{space 2}-1.554312{col 27}{space 2} 7.902506{col 38}{space 1}   -0.20{col 47}{space 3}0.845{col 55}{space 4}-17.42696{col 68}{space 3} 14.31834
{txt}{space 10}25  {c |}{col 15}{res}{space 2}-4.258015{col 27}{space 2} 7.712238{col 38}{space 1}   -0.55{col 47}{space 3}0.583{col 55}{space 4} -19.7485{col 68}{space 3} 11.23247
{txt}{space 10}26  {c |}{col 15}{res}{space 2} 4.226207{col 27}{space 2} 7.841446{col 38}{space 1}    0.54{col 47}{space 3}0.592{col 55}{space 4} -11.5238{col 68}{space 3} 19.97622
{txt}{space 10}27  {c |}{col 15}{res}{space 2}-2.331658{col 27}{space 2} 13.83255{col 38}{space 1}   -0.17{col 47}{space 3}0.867{col 55}{space 4}-30.11515{col 68}{space 3} 25.45183
{txt}{space 10}28  {c |}{col 15}{res}{space 2} 10.51094{col 27}{space 2} 8.297189{col 38}{space 1}    1.27{col 47}{space 3}0.211{col 55}{space 4}-6.154453{col 68}{space 3} 27.17634
{txt}{space 10}29  {c |}{col 15}{res}{space 2}-1.725472{col 27}{space 2} 7.339231{col 38}{space 1}   -0.24{col 47}{space 3}0.815{col 55}{space 4}-16.46675{col 68}{space 3} 13.01581
{txt}{space 10}30  {c |}{col 15}{res}{space 2} 15.33007{col 27}{space 2} 18.18029{col 38}{space 1}    0.84{col 47}{space 3}0.403{col 55}{space 4}-21.18612{col 68}{space 3} 51.84626
{txt}{space 10}31  {c |}{col 15}{res}{space 2}-6.345891{col 27}{space 2}  7.96475{col 38}{space 1}   -0.80{col 47}{space 3}0.429{col 55}{space 4}-22.34356{col 68}{space 3}  9.65178
{txt}{space 10}32  {c |}{col 15}{res}{space 2}-6.405909{col 27}{space 2} 8.190079{col 38}{space 1}   -0.78{col 47}{space 3}0.438{col 55}{space 4}-22.85617{col 68}{space 3} 10.04435
{txt}{space 10}33  {c |}{col 15}{res}{space 2} 5.896985{col 27}{space 2} 8.350357{col 38}{space 1}    0.71{col 47}{space 3}0.483{col 55}{space 4} -10.8752{col 68}{space 3} 22.66917
{txt}{space 10}34  {c |}{col 15}{res}{space 2}-14.49467{col 27}{space 2} 7.489364{col 38}{space 1}   -1.94{col 47}{space 3}0.059{col 55}{space 4} -29.5375{col 68}{space 3} .5481653
{txt}{space 10}38  {c |}{col 15}{res}{space 2}-.0995876{col 27}{space 2} 8.115478{col 38}{space 1}   -0.01{col 47}{space 3}0.990{col 55}{space 4}    -16.4{col 68}{space 3} 16.20083
{txt}{space 10}39  {c |}{col 15}{res}{space 2} 35.71867{col 27}{space 2} 10.58919{col 38}{space 1}    3.37{col 47}{space 3}0.001{col 55}{space 4} 14.44965{col 68}{space 3} 56.98769
{txt}{space 10}40  {c |}{col 15}{res}{space 2}-20.85546{col 27}{space 2}  7.35279{col 38}{space 1}   -2.84{col 47}{space 3}0.007{col 55}{space 4}-35.62398{col 68}{space 3} -6.08695
{txt}{space 10}41  {c |}{col 15}{res}{space 2} 14.68582{col 27}{space 2} 7.515873{col 38}{space 1}    1.95{col 47}{space 3}0.056{col 55}{space 4}-.4102522{col 68}{space 3}  29.7819
{txt}{space 10}42  {c |}{col 15}{res}{space 2} .9164697{col 27}{space 2}   8.7214{col 38}{space 1}    0.11{col 47}{space 3}0.917{col 55}{space 4}-16.60098{col 68}{space 3} 18.43392
{txt}{space 10}48  {c |}{col 15}{res}{space 2}-.8746984{col 27}{space 2} 7.683462{col 38}{space 1}   -0.11{col 47}{space 3}0.910{col 55}{space 4}-16.30739{col 68}{space 3} 14.55799
{txt}{space 10}49  {c |}{col 15}{res}{space 2}-1.738161{col 27}{space 2} 7.684411{col 38}{space 1}   -0.23{col 47}{space 3}0.822{col 55}{space 4}-17.17276{col 68}{space 3} 13.69643
{txt}{space 10}53  {c |}{col 15}{res}{space 2} .3125853{col 27}{space 2} 7.313637{col 38}{space 1}    0.04{col 47}{space 3}0.966{col 55}{space 4}-14.37729{col 68}{space 3} 15.00246
{txt}{space 10}56  {c |}{col 15}{res}{space 2} 3.468744{col 27}{space 2} 9.268716{col 38}{space 1}    0.37{col 47}{space 3}0.710{col 55}{space 4}-15.14802{col 68}{space 3} 22.08551
{txt}{space 10}57  {c |}{col 15}{res}{space 2} 7.881823{col 27}{space 2} 7.277118{col 38}{space 1}    1.08{col 47}{space 3}0.284{col 55}{space 4}-6.734699{col 68}{space 3} 22.49834
{txt}{space 10}59  {c |}{col 15}{res}{space 2}-7.321281{col 27}{space 2} 8.031059{col 38}{space 1}   -0.91{col 47}{space 3}0.366{col 55}{space 4}-23.45214{col 68}{space 3} 8.809577
{txt}{space 10}62  {c |}{col 15}{res}{space 2} 1.211534{col 27}{space 2} 6.368084{col 38}{space 1}    0.19{col 47}{space 3}0.850{col 55}{space 4}-11.57914{col 68}{space 3} 14.00221
{txt}{space 10}65  {c |}{col 15}{res}{space 2} 1.328857{col 27}{space 2} 10.07842{col 38}{space 1}    0.13{col 47}{space 3}0.896{col 55}{space 4}-18.91425{col 68}{space 3} 21.57197
{txt}{space 10}67  {c |}{col 15}{res}{space 2}-17.27703{col 27}{space 2} 7.299261{col 38}{space 1}   -2.37{col 47}{space 3}0.022{col 55}{space 4}-31.93803{col 68}{space 3}-2.616035
{txt}{space 10}69  {c |}{col 15}{res}{space 2} 26.82961{col 27}{space 2} 9.464194{col 38}{space 1}    2.83{col 47}{space 3}0.007{col 55}{space 4} 7.820218{col 68}{space 3}   45.839
{txt}{space 10}70  {c |}{col 15}{res}{space 2} 7.163279{col 27}{space 2} 7.077021{col 38}{space 1}    1.01{col 47}{space 3}0.316{col 55}{space 4}-7.051335{col 68}{space 3} 21.37789
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} 146.7655{col 27}{space 2} 9.053426{col 38}{space 1}   16.21{col 47}{space 3}0.000{col 55}{space 4} 128.5812{col 68}{space 3} 164.9499
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m2: reg weighttrimmed badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct_rd_sample_mean==1 , cluster(distancemean_7987_20)

{txt}Linear regression                               Number of obs     = {res}     1,138
                                                {txt}{help j_robustsingular:F(44, 50) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1911
                                                {txt}Root MSE          =    {res} 19.071

{txt}{ralign 80:(Std. Err. adjusted for {res:51} clusters in distancemean_7987_20)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1} weighttrimmed{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}badstate_post {c |}{col 16}{res}{space 2}-3.570124{col 28}{space 2} 1.288189{col 39}{space 1}   -2.77{col 48}{space 3}0.008{col 56}{space 4}-6.157528{col 69}{space 3}-.9827204
{txt}{space 14} {c |}
{space 10}year {c |}
{space 9}1880  {c |}{col 16}{res}{space 2} 2.585411{col 28}{space 2} 5.909047{col 39}{space 1}    0.44{col 48}{space 3}0.664{col 56}{space 4}-9.283258{col 69}{space 3} 14.45408
{txt}{space 9}1881  {c |}{col 16}{res}{space 2} 4.026919{col 28}{space 2} 4.994056{col 39}{space 1}    0.81{col 48}{space 3}0.424{col 56}{space 4}-6.003939{col 69}{space 3} 14.05778
{txt}{space 9}1882  {c |}{col 16}{res}{space 2} 7.314058{col 28}{space 2} 5.823667{col 39}{space 1}    1.26{col 48}{space 3}0.215{col 56}{space 4}-4.383122{col 69}{space 3} 19.01124
{txt}{space 9}1883  {c |}{col 16}{res}{space 2} 4.875267{col 28}{space 2} 5.101547{col 39}{space 1}    0.96{col 48}{space 3}0.344{col 56}{space 4}-5.371492{col 69}{space 3} 15.12203
{txt}{space 9}1884  {c |}{col 16}{res}{space 2} 3.465167{col 28}{space 2} 5.544392{col 39}{space 1}    0.62{col 48}{space 3}0.535{col 56}{space 4}-7.671073{col 69}{space 3} 14.60141
{txt}{space 9}1885  {c |}{col 16}{res}{space 2} 8.755337{col 28}{space 2} 4.533563{col 39}{space 1}    1.93{col 48}{space 3}0.059{col 56}{space 4}-.3505924{col 69}{space 3} 17.86127
{txt}{space 9}1886  {c |}{col 16}{res}{space 2} 6.840372{col 28}{space 2} 4.758449{col 39}{space 1}    1.44{col 48}{space 3}0.157{col 56}{space 4}-2.717253{col 69}{space 3}   16.398
{txt}{space 9}1887  {c |}{col 16}{res}{space 2} 11.84081{col 28}{space 2} 5.139919{col 39}{space 1}    2.30{col 48}{space 3}0.025{col 56}{space 4} 1.516982{col 69}{space 3} 22.16464
{txt}{space 14} {c |}
{space 5}state_num {c |}
{space 12}3  {c |}{col 16}{res}{space 2} 1.364934{col 28}{space 2} 10.20477{col 39}{space 1}    0.13{col 48}{space 3}0.894{col 56}{space 4}-19.13194{col 69}{space 3} 21.86181
{txt}{space 12}9  {c |}{col 16}{res}{space 2}-3.252634{col 28}{space 2}  9.85607{col 39}{space 1}   -0.33{col 48}{space 3}0.743{col 56}{space 4}-23.04913{col 69}{space 3} 16.54387
{txt}{space 11}10  {c |}{col 16}{res}{space 2}-.1850313{col 28}{space 2} 10.49586{col 39}{space 1}   -0.02{col 48}{space 3}0.986{col 56}{space 4}-21.26658{col 69}{space 3} 20.89652
{txt}{space 11}11  {c |}{col 16}{res}{space 2}-2.481808{col 28}{space 2} 8.849777{col 39}{space 1}   -0.28{col 48}{space 3}0.780{col 56}{space 4}-20.25711{col 69}{space 3} 15.29349
{txt}{space 11}12  {c |}{col 16}{res}{space 2}  .694176{col 28}{space 2} 8.185984{col 39}{space 1}    0.08{col 48}{space 3}0.933{col 56}{space 4}-15.74786{col 69}{space 3} 17.13621
{txt}{space 11}14  {c |}{col 16}{res}{space 2}-7.915999{col 28}{space 2} 7.333598{col 39}{space 1}   -1.08{col 48}{space 3}0.286{col 56}{space 4}-22.64597{col 69}{space 3} 6.813966
{txt}{space 11}18  {c |}{col 16}{res}{space 2}-7.022867{col 28}{space 2}  9.96734{col 39}{space 1}   -0.70{col 48}{space 3}0.484{col 56}{space 4}-27.04286{col 69}{space 3} 12.99712
{txt}{space 11}20  {c |}{col 16}{res}{space 2} 2.953005{col 28}{space 2} 13.86798{col 39}{space 1}    0.21{col 48}{space 3}0.832{col 56}{space 4}-24.90165{col 69}{space 3} 30.80766
{txt}{space 11}21  {c |}{col 16}{res}{space 2} .7848064{col 28}{space 2} 9.811463{col 39}{space 1}    0.08{col 48}{space 3}0.937{col 56}{space 4} -18.9221{col 69}{space 3} 20.49171
{txt}{space 11}25  {c |}{col 16}{res}{space 2}-.5402305{col 28}{space 2} 9.143965{col 39}{space 1}   -0.06{col 48}{space 3}0.953{col 56}{space 4}-18.90642{col 69}{space 3} 17.82596
{txt}{space 11}26  {c |}{col 16}{res}{space 2} .7793454{col 28}{space 2} 8.258747{col 39}{space 1}    0.09{col 48}{space 3}0.925{col 56}{space 4}-15.80884{col 69}{space 3} 17.36753
{txt}{space 11}27  {c |}{col 16}{res}{space 2}-5.833016{col 28}{space 2} 11.65482{col 39}{space 1}   -0.50{col 48}{space 3}0.619{col 56}{space 4}-29.24241{col 69}{space 3} 17.57638
{txt}{space 11}28  {c |}{col 16}{res}{space 2} 20.80822{col 28}{space 2} 10.39183{col 39}{space 1}    2.00{col 48}{space 3}0.051{col 56}{space 4}-.0643918{col 69}{space 3} 41.68083
{txt}{space 11}29  {c |}{col 16}{res}{space 2}-.8586811{col 28}{space 2} 7.774278{col 39}{space 1}   -0.11{col 48}{space 3}0.912{col 56}{space 4}-16.47378{col 69}{space 3} 14.75642
{txt}{space 11}30  {c |}{col 16}{res}{space 2} 19.89343{col 28}{space 2} 20.83206{col 39}{space 1}    0.95{col 48}{space 3}0.344{col 56}{space 4}-21.94898{col 69}{space 3} 61.73584
{txt}{space 11}31  {c |}{col 16}{res}{space 2}-3.575599{col 28}{space 2} 9.869427{col 39}{space 1}   -0.36{col 48}{space 3}0.719{col 56}{space 4}-23.39893{col 69}{space 3} 16.24773
{txt}{space 11}32  {c |}{col 16}{res}{space 2}-4.039742{col 28}{space 2} 9.935252{col 39}{space 1}   -0.41{col 48}{space 3}0.686{col 56}{space 4}-23.99528{col 69}{space 3}  15.9158
{txt}{space 11}33  {c |}{col 16}{res}{space 2} 5.101054{col 28}{space 2} 9.671687{col 39}{space 1}    0.53{col 48}{space 3}0.600{col 56}{space 4} -14.3251{col 69}{space 3} 24.52721
{txt}{space 11}34  {c |}{col 16}{res}{space 2}-11.51672{col 28}{space 2} 8.146559{col 39}{space 1}   -1.41{col 48}{space 3}0.164{col 56}{space 4}-27.87957{col 69}{space 3} 4.846126
{txt}{space 11}38  {c |}{col 16}{res}{space 2}-10.03745{col 28}{space 2} 8.221518{col 39}{space 1}   -1.22{col 48}{space 3}0.228{col 56}{space 4}-26.55085{col 69}{space 3}  6.47596
{txt}{space 11}39  {c |}{col 16}{res}{space 2}  26.4223{col 28}{space 2} 16.59875{col 39}{space 1}    1.59{col 48}{space 3}0.118{col 56}{space 4}-6.917262{col 69}{space 3} 59.76186
{txt}{space 11}40  {c |}{col 16}{res}{space 2}-19.13869{col 28}{space 2} 9.643511{col 39}{space 1}   -1.98{col 48}{space 3}0.053{col 56}{space 4}-38.50826{col 69}{space 3} .2308686
{txt}{space 11}41  {c |}{col 16}{res}{space 2} 24.87612{col 28}{space 2} 9.569253{col 39}{space 1}    2.60{col 48}{space 3}0.012{col 56}{space 4} 5.655712{col 69}{space 3} 44.09653
{txt}{space 11}42  {c |}{col 16}{res}{space 2} 5.498992{col 28}{space 2} 9.803921{col 39}{space 1}    0.56{col 48}{space 3}0.577{col 56}{space 4}-14.19276{col 69}{space 3} 25.19075
{txt}{space 11}48  {c |}{col 16}{res}{space 2} 3.238298{col 28}{space 2} 10.05768{col 39}{space 1}    0.32{col 48}{space 3}0.749{col 56}{space 4}-16.96315{col 69}{space 3} 23.43975
{txt}{space 11}49  {c |}{col 16}{res}{space 2} .0606375{col 28}{space 2}   10.103{col 39}{space 1}    0.01{col 48}{space 3}0.995{col 56}{space 4}-20.23183{col 69}{space 3} 20.35311
{txt}{space 11}53  {c |}{col 16}{res}{space 2} 3.733176{col 28}{space 2} 9.690423{col 39}{space 1}    0.39{col 48}{space 3}0.702{col 56}{space 4}-15.73061{col 69}{space 3} 23.19696
{txt}{space 11}56  {c |}{col 16}{res}{space 2} 8.167167{col 28}{space 2} 11.51821{col 39}{space 1}    0.71{col 48}{space 3}0.482{col 56}{space 4}-14.96783{col 69}{space 3} 31.30217
{txt}{space 11}59  {c |}{col 16}{res}{space 2}-16.80924{col 28}{space 2}  8.17361{col 39}{space 1}   -2.06{col 48}{space 3}0.045{col 56}{space 4}-33.22642{col 69}{space 3}-.3920605
{txt}{space 11}62  {c |}{col 16}{res}{space 2}-2.141102{col 28}{space 2} 6.390852{col 39}{space 1}   -0.34{col 48}{space 3}0.739{col 56}{space 4}-14.97751{col 69}{space 3}  10.6953
{txt}{space 11}65  {c |}{col 16}{res}{space 2}-5.631911{col 28}{space 2} 7.131313{col 39}{space 1}   -0.79{col 48}{space 3}0.433{col 56}{space 4}-19.95557{col 69}{space 3} 8.691752
{txt}{space 11}67  {c |}{col 16}{res}{space 2} -13.5239{col 28}{space 2} 9.568039{col 39}{space 1}   -1.41{col 48}{space 3}0.164{col 56}{space 4}-32.74187{col 69}{space 3} 5.694071
{txt}{space 11}69  {c |}{col 16}{res}{space 2} 23.13905{col 28}{space 2} 12.10976{col 39}{space 1}    1.91{col 48}{space 3}0.062{col 56}{space 4}-1.184123{col 69}{space 3} 47.46223
{txt}{space 11}70  {c |}{col 16}{res}{space 2} 4.561644{col 28}{space 2} 9.351409{col 39}{space 1}    0.49{col 48}{space 3}0.628{col 56}{space 4}-14.22121{col 69}{space 3}  23.3445
{txt}{space 14} {c |}
{space 4}agetrimmed {c |}{col 16}{res}{space 2}-.1319055{col 28}{space 2} .0810181{col 39}{space 1}   -1.63{col 48}{space 3}0.110{col 56}{space 4}-.2946352{col 69}{space 3} .0308241
{txt}{space 1}heighttrimmed {c |}{col 16}{res}{space 2} 2.610495{col 28}{space 2}  .331887{col 39}{space 1}    7.87{col 48}{space 3}0.000{col 56}{space 4}  1.94388{col 69}{space 3} 3.277109
{txt}{space 2}percentblack {c |}{col 16}{res}{space 2} 18.34401{col 28}{space 2} 13.20875{col 39}{space 1}    1.39{col 48}{space 3}0.171{col 56}{space 4}-8.186541{col 69}{space 3} 44.87455
{txt}{space 3}manufoutput {c |}{col 16}{res}{space 2}-.0163591{col 28}{space 2}  .022752{col 39}{space 1}   -0.72{col 48}{space 3}0.475{col 56}{space 4}-.0620578{col 69}{space 3} .0293397
{txt}{space 9}urban {c |}{col 16}{res}{space 2} .6779977{col 28}{space 2} 6.690431{col 39}{space 1}    0.10{col 48}{space 3}0.920{col 56}{space 4}-12.76013{col 69}{space 3} 14.11612
{txt}proportionfarm {c |}{col 16}{res}{space 2} 3.826308{col 28}{space 2} 4.957909{col 39}{space 1}    0.77{col 48}{space 3}0.444{col 56}{space 4}-6.131946{col 69}{space 3} 13.78456
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-28.16161{col 28}{space 2}  27.4105{col 39}{space 1}   -1.03{col 48}{space 3}0.309{col 56}{space 4}-83.21723{col 69}{space 3}   26.894
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. eststo m3: reg weighttrimmed badstate_post i.year i.state_num if usct_rd_sample_mean==1 & distancemean7987<300 , cluster(distancemean_7987_20)

{txt}Linear regression                               Number of obs     = {res}     1,082
                                                {txt}{help j_robustsingular:F(27, 28) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0547
                                                {txt}Root MSE          =    {res} 20.063

{txt}{ralign 79:(Std. Err. adjusted for {res:29} clusters in distancemean_7987_20)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}weighttrimmed{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post {c |}{col 15}{res}{space 2}-3.213688{col 27}{space 2} 1.090709{col 38}{space 1}   -2.95{col 47}{space 3}0.006{col 55}{space 4}-5.447904{col 68}{space 3}-.9794715
{txt}{space 13} {c |}
{space 9}year {c |}
{space 8}1880  {c |}{col 15}{res}{space 2} 7.559982{col 27}{space 2} 8.750739{col 38}{space 1}    0.86{col 47}{space 3}0.395{col 55}{space 4}-10.36509{col 68}{space 3} 25.48506
{txt}{space 8}1881  {c |}{col 15}{res}{space 2} 8.123519{col 27}{space 2} 8.194779{col 38}{space 1}    0.99{col 47}{space 3}0.330{col 55}{space 4}-8.662724{col 68}{space 3} 24.90976
{txt}{space 8}1882  {c |}{col 15}{res}{space 2} 10.65387{col 27}{space 2} 8.538999{col 38}{space 1}    1.25{col 47}{space 3}0.222{col 55}{space 4}-6.837475{col 68}{space 3} 28.14522
{txt}{space 8}1883  {c |}{col 15}{res}{space 2} 8.717481{col 27}{space 2} 8.166769{col 38}{space 1}    1.07{col 47}{space 3}0.295{col 55}{space 4}-8.011388{col 68}{space 3} 25.44635
{txt}{space 8}1884  {c |}{col 15}{res}{space 2} 6.365483{col 27}{space 2} 8.397934{col 38}{space 1}    0.76{col 47}{space 3}0.455{col 55}{space 4}-10.83691{col 68}{space 3} 23.56787
{txt}{space 8}1885  {c |}{col 15}{res}{space 2} 10.48749{col 27}{space 2} 7.831277{col 38}{space 1}    1.34{col 47}{space 3}0.191{col 55}{space 4}-5.554158{col 68}{space 3} 26.52913
{txt}{space 8}1886  {c |}{col 15}{res}{space 2} 9.205783{col 27}{space 2} 7.869635{col 38}{space 1}    1.17{col 47}{space 3}0.252{col 55}{space 4}-6.914433{col 68}{space 3}   25.326
{txt}{space 8}1887  {c |}{col 15}{res}{space 2} 13.88224{col 27}{space 2} 8.031272{col 38}{space 1}    1.73{col 47}{space 3}0.095{col 55}{space 4}-2.569071{col 68}{space 3} 30.33356
{txt}{space 13} {c |}
{space 4}state_num {c |}
{space 11}3  {c |}{col 15}{res}{space 2} 11.65395{col 27}{space 2}  10.6985{col 38}{space 1}    1.09{col 47}{space 3}0.285{col 55}{space 4}-10.26093{col 68}{space 3} 33.56882
{txt}{space 11}9  {c |}{col 15}{res}{space 2}-4.314495{col 27}{space 2} 7.352448{col 38}{space 1}   -0.59{col 47}{space 3}0.562{col 55}{space 4} -19.3753{col 68}{space 3} 10.74631
{txt}{space 10}10  {c |}{col 15}{res}{space 2}-3.279476{col 27}{space 2}  8.18448{col 38}{space 1}   -0.40{col 47}{space 3}0.692{col 55}{space 4}-20.04462{col 68}{space 3} 13.48567
{txt}{space 10}11  {c |}{col 15}{res}{space 2}-2.438616{col 27}{space 2} 7.211499{col 38}{space 1}   -0.34{col 47}{space 3}0.738{col 55}{space 4} -17.2107{col 68}{space 3} 12.33347
{txt}{space 10}12  {c |}{col 15}{res}{space 2} 2.254607{col 27}{space 2} 7.501603{col 38}{space 1}    0.30{col 47}{space 3}0.766{col 55}{space 4}-13.11173{col 68}{space 3} 17.62094
{txt}{space 10}18  {c |}{col 15}{res}{space 2}-2.904078{col 27}{space 2}  7.35289{col 38}{space 1}   -0.39{col 47}{space 3}0.696{col 55}{space 4}-17.96579{col 68}{space 3} 12.15763
{txt}{space 10}20  {c |}{col 15}{res}{space 2}-1.534722{col 27}{space 2} 11.44697{col 38}{space 1}   -0.13{col 47}{space 3}0.894{col 55}{space 4}-24.98277{col 68}{space 3} 21.91333
{txt}{space 10}21  {c |}{col 15}{res}{space 2}-1.600775{col 27}{space 2}  7.96349{col 38}{space 1}   -0.20{col 47}{space 3}0.842{col 55}{space 4}-17.91324{col 68}{space 3} 14.71169
{txt}{space 10}25  {c |}{col 15}{res}{space 2}  -4.3467{col 27}{space 2} 7.766727{col 38}{space 1}   -0.56{col 47}{space 3}0.580{col 55}{space 4}-20.25612{col 68}{space 3} 11.56272
{txt}{space 10}26  {c |}{col 15}{res}{space 2} 4.331398{col 27}{space 2} 7.870002{col 38}{space 1}    0.55{col 47}{space 3}0.586{col 55}{space 4}-11.78957{col 68}{space 3} 20.45237
{txt}{space 10}28  {c |}{col 15}{res}{space 2} 31.37844{col 27}{space 2} 7.053482{col 38}{space 1}    4.45{col 47}{space 3}0.000{col 55}{space 4} 16.93004{col 68}{space 3} 45.82685
{txt}{space 10}29  {c |}{col 15}{res}{space 2}-1.805498{col 27}{space 2} 7.375552{col 38}{space 1}   -0.24{col 47}{space 3}0.808{col 55}{space 4}-16.91363{col 68}{space 3} 13.30264
{txt}{space 10}31  {c |}{col 15}{res}{space 2}-5.398679{col 27}{space 2} 8.384854{col 38}{space 1}   -0.64{col 47}{space 3}0.525{col 55}{space 4}-22.57427{col 68}{space 3} 11.77692
{txt}{space 10}33  {c |}{col 15}{res}{space 2} 6.041472{col 27}{space 2} 8.376136{col 38}{space 1}    0.72{col 47}{space 3}0.477{col 55}{space 4}-11.11627{col 68}{space 3} 23.19921
{txt}{space 10}34  {c |}{col 15}{res}{space 2}-12.63815{col 27}{space 2}  7.34873{col 38}{space 1}   -1.72{col 47}{space 3}0.097{col 55}{space 4}-27.69134{col 68}{space 3} 2.415041
{txt}{space 10}38  {c |}{col 15}{res}{space 2}-4.085579{col 27}{space 2} 9.109628{col 38}{space 1}   -0.45{col 47}{space 3}0.657{col 55}{space 4}-22.74581{col 68}{space 3} 14.57465
{txt}{space 10}40  {c |}{col 15}{res}{space 2}-17.81946{col 27}{space 2}  7.12185{col 38}{space 1}   -2.50{col 47}{space 3}0.018{col 55}{space 4}-32.40791{col 68}{space 3} -3.23101
{txt}{space 10}42  {c |}{col 15}{res}{space 2} .6968499{col 27}{space 2} 8.786246{col 38}{space 1}    0.08{col 47}{space 3}0.937{col 55}{space 4}-17.30096{col 68}{space 3} 18.69466
{txt}{space 10}48  {c |}{col 15}{res}{space 2} 1.170549{col 27}{space 2} 8.111064{col 38}{space 1}    0.14{col 47}{space 3}0.886{col 55}{space 4}-15.44421{col 68}{space 3} 17.78531
{txt}{space 10}49  {c |}{col 15}{res}{space 2}-1.875612{col 27}{space 2} 7.740071{col 38}{space 1}   -0.24{col 47}{space 3}0.810{col 55}{space 4}-17.73043{col 68}{space 3}  13.9792
{txt}{space 10}53  {c |}{col 15}{res}{space 2} .1966251{col 27}{space 2}   7.3643{col 38}{space 1}    0.03{col 47}{space 3}0.979{col 55}{space 4}-14.88846{col 68}{space 3} 15.28171
{txt}{space 10}56  {c |}{col 15}{res}{space 2}-23.39688{col 27}{space 2} 7.338911{col 38}{space 1}   -3.19{col 47}{space 3}0.004{col 55}{space 4}-38.42995{col 68}{space 3}-8.363799
{txt}{space 10}57  {c |}{col 15}{res}{space 2} 7.685505{col 27}{space 2} 7.352448{col 38}{space 1}    1.05{col 47}{space 3}0.305{col 55}{space 4}-7.375302{col 68}{space 3} 22.74631
{txt}{space 10}62  {c |}{col 15}{res}{space 2} 1.423835{col 27}{space 2} 6.435524{col 38}{space 1}    0.22{col 47}{space 3}0.827{col 55}{space 4}-11.75874{col 68}{space 3} 14.60641
{txt}{space 10}65  {c |}{col 15}{res}{space 2} 1.471216{col 27}{space 2} 10.14967{col 38}{space 1}    0.14{col 47}{space 3}0.886{col 55}{space 4}-19.31943{col 68}{space 3} 22.26187
{txt}{space 10}69  {c |}{col 15}{res}{space 2} 26.70297{col 27}{space 2} 9.488577{col 38}{space 1}    2.81{col 47}{space 3}0.009{col 55}{space 4} 7.266504{col 68}{space 3} 46.13944
{txt}{space 10}70  {c |}{col 15}{res}{space 2} 7.162385{col 27}{space 2} 7.093753{col 38}{space 1}    1.01{col 47}{space 3}0.321{col 55}{space 4} -7.36851{col 68}{space 3} 21.69328
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} 144.5146{col 27}{space 2} 10.58052{col 38}{space 1}   13.66{col 47}{space 3}0.000{col 55}{space 4} 122.8414{col 68}{space 3} 166.1878
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m4: reg weighttrimmed badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct_rd_sample_mean==1 & distancemean7987<300, cluster(distancemean_7987_20)

{txt}Linear regression                               Number of obs     = {res}     1,000
                                                {txt}{help j_robustsingular:F(27, 28) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1708
                                                {txt}Root MSE          =    {res}  18.95

{txt}{ralign 80:(Std. Err. adjusted for {res:29} clusters in distancemean_7987_20)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1} weighttrimmed{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}badstate_post {c |}{col 16}{res}{space 2}-3.547719{col 28}{space 2} 1.255034{col 39}{space 1}   -2.83{col 48}{space 3}0.009{col 56}{space 4}-6.118539{col 69}{space 3} -.976899
{txt}{space 14} {c |}
{space 10}year {c |}
{space 9}1880  {c |}{col 16}{res}{space 2} 6.793829{col 28}{space 2} 8.039176{col 39}{space 1}    0.85{col 48}{space 3}0.405{col 56}{space 4}-9.673676{col 69}{space 3} 23.26134
{txt}{space 9}1881  {c |}{col 16}{res}{space 2} 8.319693{col 28}{space 2} 6.442648{col 39}{space 1}    1.29{col 48}{space 3}0.207{col 56}{space 4}-4.877473{col 69}{space 3} 21.51686
{txt}{space 9}1882  {c |}{col 16}{res}{space 2} 11.68896{col 28}{space 2} 7.344741{col 39}{space 1}    1.59{col 48}{space 3}0.123{col 56}{space 4}-3.356063{col 69}{space 3} 26.73397
{txt}{space 9}1883  {c |}{col 16}{res}{space 2} 8.805599{col 28}{space 2} 6.391076{col 39}{space 1}    1.38{col 48}{space 3}0.179{col 56}{space 4}-4.285926{col 69}{space 3} 21.89712
{txt}{space 9}1884  {c |}{col 16}{res}{space 2} 6.606378{col 28}{space 2} 7.269338{col 39}{space 1}    0.91{col 48}{space 3}0.371{col 56}{space 4}-8.284187{col 69}{space 3} 21.49694
{txt}{space 9}1885  {c |}{col 16}{res}{space 2} 11.14314{col 28}{space 2} 5.890543{col 39}{space 1}    1.89{col 48}{space 3}0.069{col 56}{space 4}-.9230955{col 69}{space 3} 23.20937
{txt}{space 9}1886  {c |}{col 16}{res}{space 2} 10.50886{col 28}{space 2} 6.300864{col 39}{space 1}    1.67{col 48}{space 3}0.106{col 56}{space 4}-2.397878{col 69}{space 3} 23.41559
{txt}{space 9}1887  {c |}{col 16}{res}{space 2} 15.41301{col 28}{space 2}  6.77131{col 39}{space 1}    2.28{col 48}{space 3}0.031{col 56}{space 4} 1.542615{col 69}{space 3} 29.28341
{txt}{space 14} {c |}
{space 5}state_num {c |}
{space 12}3  {c |}{col 16}{res}{space 2}  3.29553{col 28}{space 2} 10.01467{col 39}{space 1}    0.33{col 48}{space 3}0.745{col 56}{space 4}-17.21859{col 69}{space 3} 23.80965
{txt}{space 12}9  {c |}{col 16}{res}{space 2} -2.95904{col 28}{space 2} 10.82852{col 39}{space 1}   -0.27{col 48}{space 3}0.787{col 56}{space 4}-25.14026{col 69}{space 3} 19.22218
{txt}{space 11}10  {c |}{col 16}{res}{space 2} .5858318{col 28}{space 2} 10.58191{col 39}{space 1}    0.06{col 48}{space 3}0.956{col 56}{space 4}-21.09022{col 69}{space 3} 22.26188
{txt}{space 11}11  {c |}{col 16}{res}{space 2}-4.784961{col 28}{space 2} 10.18574{col 39}{space 1}   -0.47{col 48}{space 3}0.642{col 56}{space 4}-25.64951{col 69}{space 3} 16.07959
{txt}{space 11}12  {c |}{col 16}{res}{space 2} .2721464{col 28}{space 2} 8.227488{col 39}{space 1}    0.03{col 48}{space 3}0.974{col 56}{space 4} -16.5811{col 69}{space 3} 17.12539
{txt}{space 11}18  {c |}{col 16}{res}{space 2}-9.558727{col 28}{space 2} 10.74841{col 39}{space 1}   -0.89{col 48}{space 3}0.381{col 56}{space 4}-31.57586{col 69}{space 3}  12.4584
{txt}{space 11}20  {c |}{col 16}{res}{space 2}-.7245123{col 28}{space 2} 13.96738{col 39}{space 1}   -0.05{col 48}{space 3}0.959{col 56}{space 4}-29.33539{col 69}{space 3} 27.88637
{txt}{space 11}21  {c |}{col 16}{res}{space 2}-1.374097{col 28}{space 2} 10.16035{col 39}{space 1}   -0.14{col 48}{space 3}0.893{col 56}{space 4}-22.18663{col 69}{space 3} 19.43844
{txt}{space 11}25  {c |}{col 16}{res}{space 2}-2.550334{col 28}{space 2} 9.867103{col 39}{space 1}   -0.26{col 48}{space 3}0.798{col 56}{space 4}-22.76218{col 69}{space 3} 17.66151
{txt}{space 11}26  {c |}{col 16}{res}{space 2}-.4027684{col 28}{space 2} 8.304765{col 39}{space 1}   -0.05{col 48}{space 3}0.962{col 56}{space 4}-17.41431{col 69}{space 3} 16.60877
{txt}{space 11}28  {c |}{col 16}{res}{space 2} 32.07587{col 28}{space 2} 10.11924{col 39}{space 1}    3.17{col 48}{space 3}0.004{col 56}{space 4} 11.34755{col 69}{space 3}  52.8042
{txt}{space 11}29  {c |}{col 16}{res}{space 2}-.9064403{col 28}{space 2} 7.692298{col 39}{space 1}   -0.12{col 48}{space 3}0.907{col 56}{space 4} -16.6634{col 69}{space 3} 14.85052
{txt}{space 11}31  {c |}{col 16}{res}{space 2}-7.019968{col 28}{space 2} 10.99286{col 39}{space 1}   -0.64{col 48}{space 3}0.528{col 56}{space 4}-29.53783{col 69}{space 3} 15.49789
{txt}{space 11}33  {c |}{col 16}{res}{space 2} 2.813177{col 28}{space 2} 10.26397{col 39}{space 1}    0.27{col 48}{space 3}0.786{col 56}{space 4}-18.21162{col 69}{space 3} 23.83797
{txt}{space 11}34  {c |}{col 16}{res}{space 2}-21.27946{col 28}{space 2} 7.878813{col 39}{space 1}   -2.70{col 48}{space 3}0.012{col 56}{space 4}-37.41848{col 69}{space 3}-5.140447
{txt}{space 11}38  {c |}{col 16}{res}{space 2}-18.58399{col 28}{space 2} 6.678964{col 39}{space 1}   -2.78{col 48}{space 3}0.010{col 56}{space 4}-32.26523{col 69}{space 3}-4.902755
{txt}{space 11}40  {c |}{col 16}{res}{space 2}-22.99894{col 28}{space 2} 10.33419{col 39}{space 1}   -2.23{col 48}{space 3}0.034{col 56}{space 4}-44.16758{col 69}{space 3}-1.830315
{txt}{space 11}42  {c |}{col 16}{res}{space 2} 3.933254{col 28}{space 2} 10.17905{col 39}{space 1}    0.39{col 48}{space 3}0.702{col 56}{space 4}-16.91759{col 69}{space 3}  24.7841
{txt}{space 11}48  {c |}{col 16}{res}{space 2} 2.318058{col 28}{space 2} 10.71591{col 39}{space 1}    0.22{col 48}{space 3}0.830{col 56}{space 4}-19.63249{col 69}{space 3} 24.26861
{txt}{space 11}49  {c |}{col 16}{res}{space 2}-2.606251{col 28}{space 2} 10.54262{col 39}{space 1}   -0.25{col 48}{space 3}0.807{col 56}{space 4}-24.20183{col 69}{space 3} 18.98933
{txt}{space 11}53  {c |}{col 16}{res}{space 2} 2.018939{col 28}{space 2} 10.31797{col 39}{space 1}    0.20{col 48}{space 3}0.846{col 56}{space 4}-19.11646{col 69}{space 3} 23.15434
{txt}{space 11}56  {c |}{col 16}{res}{space 2}-16.22764{col 28}{space 2} 10.25581{col 39}{space 1}   -1.58{col 48}{space 3}0.125{col 56}{space 4}-37.23571{col 69}{space 3} 4.780435
{txt}{space 11}62  {c |}{col 16}{res}{space 2}-2.846456{col 28}{space 2} 6.366687{col 39}{space 1}   -0.45{col 48}{space 3}0.658{col 56}{space 4}-15.88802{col 69}{space 3} 10.19511
{txt}{space 11}65  {c |}{col 16}{res}{space 2}-5.666368{col 28}{space 2} 7.018808{col 39}{space 1}   -0.81{col 48}{space 3}0.426{col 56}{space 4}-20.04374{col 69}{space 3} 8.711009
{txt}{space 11}69  {c |}{col 16}{res}{space 2}  20.4268{col 28}{space 2} 12.58111{col 39}{space 1}    1.62{col 48}{space 3}0.116{col 56}{space 4}-5.344435{col 69}{space 3} 46.19803
{txt}{space 11}70  {c |}{col 16}{res}{space 2} 2.240257{col 28}{space 2} 9.774211{col 39}{space 1}    0.23{col 48}{space 3}0.820{col 56}{space 4}-17.78131{col 69}{space 3} 22.26182
{txt}{space 14} {c |}
{space 4}agetrimmed {c |}{col 16}{res}{space 2}-.1231569{col 28}{space 2} .0850669{col 39}{space 1}   -1.45{col 48}{space 3}0.159{col 56}{space 4}-.2974086{col 69}{space 3} .0510947
{txt}{space 1}heighttrimmed {c |}{col 16}{res}{space 2} 2.548129{col 28}{space 2} .3208123{col 39}{space 1}    7.94{col 48}{space 3}0.000{col 56}{space 4} 1.890975{col 69}{space 3} 3.205284
{txt}{space 2}percentblack {c |}{col 16}{res}{space 2} 12.42024{col 28}{space 2} 17.17646{col 39}{space 1}    0.72{col 48}{space 3}0.476{col 56}{space 4}-22.76415{col 69}{space 3} 47.60463
{txt}{space 3}manufoutput {c |}{col 16}{res}{space 2}-.0280423{col 28}{space 2} .0274159{col 39}{space 1}   -1.02{col 48}{space 3}0.315{col 56}{space 4}-.0842012{col 69}{space 3} .0281166
{txt}{space 9}urban {c |}{col 16}{res}{space 2} 5.051889{col 28}{space 2} 8.993538{col 39}{space 1}    0.56{col 48}{space 3}0.579{col 56}{space 4}-13.37054{col 69}{space 3} 23.47432
{txt}proportionfarm {c |}{col 16}{res}{space 2} 6.850627{col 28}{space 2} 5.592158{col 39}{space 1}    1.23{col 48}{space 3}0.231{col 56}{space 4}-4.604389{col 69}{space 3} 18.30564
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-28.33439{col 28}{space 2} 29.85457{col 39}{space 1}   -0.95{col 48}{space 3}0.351{col 56}{space 4} -89.4887{col 69}{space 3} 32.81992
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. eststo m5: reg weighttrimmed badstate_post i.year i.state_num if usct_rd_sample_mean==1 & distancemean7987<200 , cluster(distancemean_7987_20)

{txt}Linear regression                               Number of obs     = {res}       868
                                                {txt}{help j_robustsingular:F(18, 19) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0255
                                                {txt}Root MSE          =    {res} 20.291

{txt}{ralign 79:(Std. Err. adjusted for {res:20} clusters in distancemean_7987_20)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}weighttrimmed{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post {c |}{col 15}{res}{space 2} -2.91219{col 27}{space 2} 1.113573{col 38}{space 1}   -2.62{col 47}{space 3}0.017{col 55}{space 4}-5.242926{col 68}{space 3}-.5814547
{txt}{space 13} {c |}
{space 9}year {c |}
{space 8}1880  {c |}{col 15}{res}{space 2} 4.927598{col 27}{space 2}  8.63139{col 38}{space 1}    0.57{col 47}{space 3}0.575{col 55}{space 4}-13.13811{col 68}{space 3}  22.9933
{txt}{space 8}1881  {c |}{col 15}{res}{space 2} 9.108409{col 27}{space 2} 8.071951{col 38}{space 1}    1.13{col 47}{space 3}0.273{col 55}{space 4}-7.786378{col 68}{space 3}  26.0032
{txt}{space 8}1882  {c |}{col 15}{res}{space 2} 9.921986{col 27}{space 2} 8.500387{col 38}{space 1}    1.17{col 47}{space 3}0.258{col 55}{space 4}-7.869529{col 68}{space 3}  27.7135
{txt}{space 8}1883  {c |}{col 15}{res}{space 2} 9.672167{col 27}{space 2} 7.968998{col 38}{space 1}    1.21{col 47}{space 3}0.240{col 55}{space 4}-7.007136{col 68}{space 3} 26.35147
{txt}{space 8}1884  {c |}{col 15}{res}{space 2} 7.142684{col 27}{space 2}  8.30343{col 38}{space 1}    0.86{col 47}{space 3}0.400{col 55}{space 4}-10.23659{col 68}{space 3} 24.52196
{txt}{space 8}1885  {c |}{col 15}{res}{space 2}  11.3393{col 27}{space 2} 7.639545{col 38}{space 1}    1.48{col 47}{space 3}0.154{col 55}{space 4}-4.650455{col 68}{space 3} 27.32905
{txt}{space 8}1886  {c |}{col 15}{res}{space 2} 9.425903{col 27}{space 2} 7.754494{col 38}{space 1}    1.22{col 47}{space 3}0.239{col 55}{space 4}-6.804439{col 68}{space 3} 25.65625
{txt}{space 8}1887  {c |}{col 15}{res}{space 2} 13.12429{col 27}{space 2} 7.898729{col 38}{space 1}    1.66{col 47}{space 3}0.113{col 55}{space 4}-3.407937{col 68}{space 3} 29.65652
{txt}{space 13} {c |}
{space 4}state_num {c |}
{space 11}3  {c |}{col 15}{res}{space 2}-12.82808{col 27}{space 2}   5.4619{col 38}{space 1}   -2.35{col 47}{space 3}0.030{col 55}{space 4}-24.25997{col 68}{space 3}-1.396195
{txt}{space 11}9  {c |}{col 15}{res}{space 2}-8.348594{col 27}{space 2} 1.522208{col 38}{space 1}   -5.48{col 47}{space 3}0.000{col 55}{space 4}-11.53461{col 68}{space 3}-5.162575
{txt}{space 10}10  {c |}{col 15}{res}{space 2} 1.763549{col 27}{space 2} 1.685934{col 38}{space 1}    1.05{col 47}{space 3}0.309{col 55}{space 4}-1.765153{col 68}{space 3}  5.29225
{txt}{space 10}11  {c |}{col 15}{res}{space 2}-6.554291{col 27}{space 2} 1.280531{col 38}{space 1}   -5.12{col 47}{space 3}0.000{col 55}{space 4}-9.234474{col 68}{space 3}-3.874108
{txt}{space 10}12  {c |}{col 15}{res}{space 2}-2.124984{col 27}{space 2} 2.242598{col 38}{space 1}   -0.95{col 47}{space 3}0.355{col 55}{space 4}-6.818795{col 68}{space 3} 2.568827
{txt}{space 10}18  {c |}{col 15}{res}{space 2}-7.164267{col 27}{space 2} 1.845616{col 38}{space 1}   -3.88{col 47}{space 3}0.001{col 55}{space 4}-11.02719{col 68}{space 3}-3.301348
{txt}{space 10}20  {c |}{col 15}{res}{space 2}-5.337395{col 27}{space 2} 11.20862{col 38}{space 1}   -0.48{col 47}{space 3}0.639{col 55}{space 4}-28.79731{col 68}{space 3} 18.12252
{txt}{space 10}21  {c |}{col 15}{res}{space 2}-4.391846{col 27}{space 2} 3.239715{col 38}{space 1}   -1.36{col 47}{space 3}0.191{col 55}{space 4}-11.17265{col 68}{space 3} 2.388955
{txt}{space 10}25  {c |}{col 15}{res}{space 2}-8.055924{col 27}{space 2} 3.080799{col 38}{space 1}   -2.61{col 47}{space 3}0.017{col 55}{space 4}-14.50411{col 68}{space 3}-1.607737
{txt}{space 10}26  {c |}{col 15}{res}{space 2} .2429067{col 27}{space 2}  3.25458{col 38}{space 1}    0.07{col 47}{space 3}0.941{col 55}{space 4}-6.569009{col 68}{space 3} 7.054822
{txt}{space 10}29  {c |}{col 15}{res}{space 2}-6.109096{col 27}{space 2} 1.988624{col 38}{space 1}   -3.07{col 47}{space 3}0.006{col 55}{space 4}-10.27133{col 68}{space 3}-1.946857
{txt}{space 10}33  {c |}{col 15}{res}{space 2} 1.696441{col 27}{space 2}  4.62392{col 38}{space 1}    0.37{col 47}{space 3}0.718{col 55}{space 4}-7.981534{col 68}{space 3} 11.37442
{txt}{space 10}34  {c |}{col 15}{res}{space 2}-17.55877{col 27}{space 2} 1.394002{col 38}{space 1}  -12.60{col 47}{space 3}0.000{col 55}{space 4}-20.47645{col 68}{space 3}-14.64109
{txt}{space 10}38  {c |}{col 15}{res}{space 2}-8.558773{col 27}{space 2} 1.394002{col 38}{space 1}   -6.14{col 47}{space 3}0.000{col 55}{space 4}-11.47645{col 68}{space 3}-5.641094
{txt}{space 10}40  {c |}{col 15}{res}{space 2}-21.49931{col 27}{space 2} 2.327034{col 38}{space 1}   -9.24{col 47}{space 3}0.000{col 55}{space 4}-26.36985{col 68}{space 3}-16.62877
{txt}{space 10}42  {c |}{col 15}{res}{space 2}-3.159927{col 27}{space 2} 5.330962{col 38}{space 1}   -0.59{col 47}{space 3}0.560{col 55}{space 4}-14.31776{col 68}{space 3} 7.997905
{txt}{space 10}48  {c |}{col 15}{res}{space 2}-5.034043{col 27}{space 2} 4.963305{col 38}{space 1}   -1.01{col 47}{space 3}0.323{col 55}{space 4}-15.42236{col 68}{space 3} 5.354274
{txt}{space 10}49  {c |}{col 15}{res}{space 2}-5.959999{col 27}{space 2} 2.961866{col 38}{space 1}   -2.01{col 47}{space 3}0.059{col 55}{space 4}-12.15926{col 68}{space 3} .2392584
{txt}{space 10}53  {c |}{col 15}{res}{space 2}-4.039154{col 27}{space 2}  1.78895{col 38}{space 1}   -2.26{col 47}{space 3}0.036{col 55}{space 4} -7.78347{col 68}{space 3}-.2948379
{txt}{space 10}57  {c |}{col 15}{res}{space 2} 3.651406{col 27}{space 2} 1.522208{col 38}{space 1}    2.40{col 47}{space 3}0.027{col 55}{space 4} .4653879{col 68}{space 3} 6.837425
{txt}{space 10}62  {c |}{col 15}{res}{space 2}-1.763149{col 27}{space 2} 7.007337{col 38}{space 1}   -0.25{col 47}{space 3}0.804{col 55}{space 4}-16.42967{col 68}{space 3} 12.90337
{txt}{space 10}65  {c |}{col 15}{res}{space 2}-2.963042{col 27}{space 2} 7.033562{col 38}{space 1}   -0.42{col 47}{space 3}0.678{col 55}{space 4}-17.68446{col 68}{space 3} 11.75837
{txt}{space 10}70  {c |}{col 15}{res}{space 2} 3.331786{col 27}{space 2} 2.195309{col 38}{space 1}    1.52{col 47}{space 3}0.146{col 55}{space 4}-1.263049{col 68}{space 3} 7.926622
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} 148.4504{col 27}{space 2} 7.897349{col 38}{space 1}   18.80{col 47}{space 3}0.000{col 55}{space 4}  131.921{col 68}{space 3} 164.9797
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m6: reg weighttrimmed badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct_rd_sample_mean==1 & distancemean7987<200, cluster(distancemean_7987_20)

{txt}Linear regression                               Number of obs     = {res}       793
                                                {txt}{help j_robustsingular:F(18, 19) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1406
                                                {txt}Root MSE          =    {res} 19.322

{txt}{ralign 80:(Std. Err. adjusted for {res:20} clusters in distancemean_7987_20)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1} weighttrimmed{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}badstate_post {c |}{col 16}{res}{space 2}-3.680757{col 28}{space 2} 1.403509{col 39}{space 1}   -2.62{col 48}{space 3}0.017{col 56}{space 4}-6.618335{col 69}{space 3}-.7431798
{txt}{space 14} {c |}
{space 10}year {c |}
{space 9}1880  {c |}{col 16}{res}{space 2} 5.943368{col 28}{space 2} 8.934563{col 39}{space 1}    0.67{col 48}{space 3}0.514{col 56}{space 4}-12.75689{col 69}{space 3} 24.64362
{txt}{space 9}1881  {c |}{col 16}{res}{space 2} 10.34996{col 28}{space 2} 6.824288{col 39}{space 1}    1.52{col 48}{space 3}0.146{col 56}{space 4}-3.933436{col 69}{space 3} 24.63336
{txt}{space 9}1882  {c |}{col 16}{res}{space 2} 11.39206{col 28}{space 2} 7.910292{col 39}{space 1}    1.44{col 48}{space 3}0.166{col 56}{space 4}-5.164377{col 69}{space 3} 27.94849
{txt}{space 9}1883  {c |}{col 16}{res}{space 2} 10.52394{col 28}{space 2} 6.820041{col 39}{space 1}    1.54{col 48}{space 3}0.139{col 56}{space 4}-3.750568{col 69}{space 3} 24.79845
{txt}{space 9}1884  {c |}{col 16}{res}{space 2} 7.742763{col 28}{space 2} 7.990919{col 39}{space 1}    0.97{col 48}{space 3}0.345{col 56}{space 4}-8.982422{col 69}{space 3} 24.46795
{txt}{space 9}1885  {c |}{col 16}{res}{space 2} 13.54596{col 28}{space 2} 6.135467{col 39}{space 1}    2.21{col 48}{space 3}0.040{col 56}{space 4} .7042797{col 69}{space 3} 26.38764
{txt}{space 9}1886  {c |}{col 16}{res}{space 2} 12.05287{col 28}{space 2} 6.879779{col 39}{space 1}    1.75{col 48}{space 3}0.096{col 56}{space 4}-2.346674{col 69}{space 3} 26.45241
{txt}{space 9}1887  {c |}{col 16}{res}{space 2} 15.57406{col 28}{space 2} 7.373717{col 39}{space 1}    2.11{col 48}{space 3}0.048{col 56}{space 4} .1406969{col 69}{space 3} 31.00743
{txt}{space 14} {c |}
{space 5}state_num {c |}
{space 12}3  {c |}{col 16}{res}{space 2}-28.16908{col 28}{space 2} 15.28503{col 39}{space 1}   -1.84{col 48}{space 3}0.081{col 56}{space 4}-60.16102{col 69}{space 3} 3.822846
{txt}{space 12}9  {c |}{col 16}{res}{space 2}-8.910971{col 28}{space 2} 7.661692{col 39}{space 1}   -1.16{col 48}{space 3}0.259{col 56}{space 4}-24.94708{col 69}{space 3} 7.125134
{txt}{space 11}10  {c |}{col 16}{res}{space 2} 3.032722{col 28}{space 2} 4.317421{col 39}{space 1}    0.70{col 48}{space 3}0.491{col 56}{space 4}-6.003744{col 69}{space 3} 12.06919
{txt}{space 11}11  {c |}{col 16}{res}{space 2}-13.10118{col 28}{space 2} 6.680507{col 39}{space 1}   -1.96{col 48}{space 3}0.065{col 56}{space 4}-27.08364{col 69}{space 3} .8812791
{txt}{space 11}12  {c |}{col 16}{res}{space 2}-3.922126{col 28}{space 2} 2.070609{col 39}{space 1}   -1.89{col 48}{space 3}0.074{col 56}{space 4}-8.255962{col 69}{space 3} .4117091
{txt}{space 11}18  {c |}{col 16}{res}{space 2}-17.16884{col 28}{space 2} 6.902985{col 39}{space 1}   -2.49{col 48}{space 3}0.022{col 56}{space 4}-31.61695{col 69}{space 3}-2.720726
{txt}{space 11}20  {c |}{col 16}{res}{space 2}-8.245367{col 28}{space 2} 11.40595{col 39}{space 1}   -0.72{col 48}{space 3}0.479{col 56}{space 4} -32.1183{col 69}{space 3} 15.62757
{txt}{space 11}21  {c |}{col 16}{res}{space 2}-7.438659{col 28}{space 2} 4.529353{col 39}{space 1}   -1.64{col 48}{space 3}0.117{col 56}{space 4} -16.9187{col 69}{space 3} 2.041385
{txt}{space 11}25  {c |}{col 16}{res}{space 2}-8.929705{col 28}{space 2} 5.927318{col 39}{space 1}   -1.51{col 48}{space 3}0.148{col 56}{space 4}-21.33572{col 69}{space 3} 3.476315
{txt}{space 11}26  {c |}{col 16}{res}{space 2}-4.796215{col 28}{space 2} 3.180111{col 39}{space 1}   -1.51{col 48}{space 3}0.148{col 56}{space 4}-11.45226{col 69}{space 3} 1.859833
{txt}{space 11}29  {c |}{col 16}{res}{space 2}-3.698544{col 28}{space 2} 3.195589{col 39}{space 1}   -1.16{col 48}{space 3}0.261{col 56}{space 4}-10.38699{col 69}{space 3} 2.989901
{txt}{space 11}33  {c |}{col 16}{res}{space 2}-3.956625{col 28}{space 2} 6.115419{col 39}{space 1}   -0.65{col 48}{space 3}0.525{col 56}{space 4}-16.75634{col 69}{space 3} 8.843094
{txt}{space 11}34  {c |}{col 16}{res}{space 2}-21.55788{col 28}{space 2} 7.789342{col 39}{space 1}   -2.77{col 48}{space 3}0.012{col 56}{space 4}-37.86116{col 69}{space 3}-5.254598
{txt}{space 11}38  {c |}{col 16}{res}{space 2}-17.82665{col 28}{space 2} 5.928336{col 39}{space 1}   -3.01{col 48}{space 3}0.007{col 56}{space 4} -30.2348{col 69}{space 3}-5.418504
{txt}{space 11}40  {c |}{col 16}{res}{space 2}-27.68637{col 28}{space 2} 7.125033{col 39}{space 1}   -3.89{col 48}{space 3}0.001{col 56}{space 4}-42.59924{col 69}{space 3}-12.77351
{txt}{space 11}42  {c |}{col 16}{res}{space 2}-3.302412{col 28}{space 2} 5.461084{col 39}{space 1}   -0.60{col 48}{space 3}0.553{col 56}{space 4}-14.73259{col 69}{space 3} 8.127768
{txt}{space 11}48  {c |}{col 16}{res}{space 2}-11.67183{col 28}{space 2} 7.238875{col 39}{space 1}   -1.61{col 48}{space 3}0.123{col 56}{space 4}-26.82297{col 69}{space 3} 3.479311
{txt}{space 11}49  {c |}{col 16}{res}{space 2}-9.937541{col 28}{space 2} 6.059297{col 39}{space 1}   -1.64{col 48}{space 3}0.117{col 56}{space 4}-22.61979{col 69}{space 3} 2.744713
{txt}{space 11}53  {c |}{col 16}{res}{space 2}-5.137913{col 28}{space 2} 5.352198{col 39}{space 1}   -0.96{col 48}{space 3}0.349{col 56}{space 4}-16.34019{col 69}{space 3} 6.064365
{txt}{space 11}62  {c |}{col 16}{res}{space 2}-7.093981{col 28}{space 2} 5.387928{col 39}{space 1}   -1.32{col 48}{space 3}0.204{col 56}{space 4}-18.37104{col 69}{space 3} 4.183082
{txt}{space 11}65  {c |}{col 16}{res}{space 2}-8.179743{col 28}{space 2} 3.812877{col 39}{space 1}   -2.15{col 48}{space 3}0.045{col 56}{space 4}-16.16019{col 69}{space 3}-.1992991
{txt}{space 11}70  {c |}{col 16}{res}{space 2}-3.233824{col 28}{space 2} 5.399081{col 39}{space 1}   -0.60{col 48}{space 3}0.556{col 56}{space 4}-14.53423{col 69}{space 3} 8.066582
{txt}{space 14} {c |}
{space 4}agetrimmed {c |}{col 16}{res}{space 2}-.1420307{col 28}{space 2}  .110233{col 39}{space 1}   -1.29{col 48}{space 3}0.213{col 56}{space 4} -.372751{col 69}{space 3} .0886895
{txt}{space 1}heighttrimmed {c |}{col 16}{res}{space 2} 2.443446{col 28}{space 2} .3335403{col 39}{space 1}    7.33{col 48}{space 3}0.000{col 56}{space 4} 1.745338{col 69}{space 3} 3.141554
{txt}{space 2}percentblack {c |}{col 16}{res}{space 2} .5445095{col 28}{space 2} 21.30364{col 39}{space 1}    0.03{col 48}{space 3}0.980{col 56}{space 4}-44.04452{col 69}{space 3} 45.13354
{txt}{space 3}manufoutput {c |}{col 16}{res}{space 2}-.0421817{col 28}{space 2} .0278912{col 39}{space 1}   -1.51{col 48}{space 3}0.147{col 56}{space 4}-.1005587{col 69}{space 3} .0161953
{txt}{space 9}urban {c |}{col 16}{res}{space 2} 12.38012{col 28}{space 2}  9.42149{col 39}{space 1}    1.31{col 48}{space 3}0.204{col 56}{space 4}-7.339287{col 69}{space 3} 32.09952
{txt}proportionfarm {c |}{col 16}{res}{space 2} 8.118232{col 28}{space 2} 5.447122{col 39}{space 1}    1.49{col 48}{space 3}0.153{col 56}{space 4}-3.282725{col 69}{space 3} 19.51919
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-15.67254{col 28}{space 2} 28.53285{col 39}{space 1}   -0.55{col 48}{space 3}0.589{col 56}{space 4}-75.39248{col 69}{space 3}  44.0474
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. estout m1 m2 m3 m4 m5 m6 using Table3.tex, replace style(tex) collabels(none) mlabels("Model 1" "Model 2" "Model 3" "Model 4" "Model 5" "Model 6", span prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) prehead("\begin{c -(}table{c )-}[htbp!]\caption{c -(}@title{c )-}" "\begin{c -(}center{c )-}" "\scriptsize" "\begin{c -(}threeparttable{c )-}"  "\begin{c -(}tabular{c )-}{c -(}l*{c -(}@M{c )-}{c -(}rr{c )-}{c )-}" "\hline")  cells(  b(star fmt(2)) se(par fmt(2)) ) starlevels(* .10 ** .05 *** .01)   s( N )
{res}{txt}(note: file Table3.tex not found)
(output written to {browse  `"Table3.tex"'})

{com}. 
. *Table 4
. 
. eststo m1: areg weighttrimmed badstate_post i.year i.state_num if usct_rd_sample_mean==1, vce(cluster distancemean_7987_20) absorb(recid)
{txt}note: 9.state_num omitted because of collinearity
{txt}note: 14.state_num omitted because of collinearity
{txt}note: 26.state_num omitted because of collinearity
{txt}note: 30.state_num omitted because of collinearity
{txt}note: 33.state_num omitted because of collinearity
{txt}note: 38.state_num omitted because of collinearity
{txt}note: 40.state_num omitted because of collinearity
{txt}note: 41.state_num omitted because of collinearity
{txt}note: 57.state_num omitted because of collinearity
{txt}note: 59.state_num omitted because of collinearity
{txt}note: 69.state_num omitted because of collinearity
{txt}note: 70.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     1,230
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}       424
{txt}{col 49}{help j_robustsingular##|_new:F(  21,     50)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.8595
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7769
{txt}{col 49}Root MSE{col 67}= {res}    9.7257

{txt}{ralign 79:(Std. Err. adjusted for {res:51} clusters in distancemean_7987_20)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}weighttrimmed{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post {c |}{col 15}{res}{space 2}-1.589399{col 27}{space 2} 1.374222{col 38}{space 1}   -1.16{col 47}{space 3}0.253{col 55}{space 4}-4.349604{col 68}{space 3} 1.170807
{txt}{space 13} {c |}
{space 9}year {c |}
{space 8}1880  {c |}{col 15}{res}{space 2}-1.956932{col 27}{space 2} 8.160581{col 38}{space 1}   -0.24{col 47}{space 3}0.811{col 55}{space 4}-18.34794{col 68}{space 3} 14.43408
{txt}{space 8}1881  {c |}{col 15}{res}{space 2} 2.048442{col 27}{space 2} 4.791821{col 38}{space 1}    0.43{col 47}{space 3}0.671{col 55}{space 4}-7.576214{col 68}{space 3}  11.6731
{txt}{space 8}1882  {c |}{col 15}{res}{space 2} 4.201993{col 27}{space 2} 4.972394{col 38}{space 1}    0.85{col 47}{space 3}0.402{col 55}{space 4}-5.785354{col 68}{space 3} 14.18934
{txt}{space 8}1883  {c |}{col 15}{res}{space 2} 2.420773{col 27}{space 2} 5.091012{col 38}{space 1}    0.48{col 47}{space 3}0.637{col 55}{space 4}-7.804827{col 68}{space 3} 12.64637
{txt}{space 8}1884  {c |}{col 15}{res}{space 2} 3.170076{col 27}{space 2} 4.835847{col 38}{space 1}    0.66{col 47}{space 3}0.515{col 55}{space 4}-6.543008{col 68}{space 3} 12.88316
{txt}{space 8}1885  {c |}{col 15}{res}{space 2} 3.624896{col 27}{space 2} 4.241948{col 38}{space 1}    0.85{col 47}{space 3}0.397{col 55}{space 4}-4.895307{col 68}{space 3}  12.1451
{txt}{space 8}1886  {c |}{col 15}{res}{space 2} 2.838551{col 27}{space 2} 4.394407{col 38}{space 1}    0.65{col 47}{space 3}0.521{col 55}{space 4}-5.987876{col 68}{space 3} 11.66498
{txt}{space 8}1887  {c |}{col 15}{res}{space 2} 4.397999{col 27}{space 2} 4.600494{col 38}{space 1}    0.96{col 47}{space 3}0.344{col 55}{space 4}-4.842365{col 68}{space 3} 13.63836
{txt}{space 13} {c |}
{space 4}state_num {c |}
{space 11}3  {c |}{col 15}{res}{space 2}-.9364817{col 27}{space 2} 8.596136{col 38}{space 1}   -0.11{col 47}{space 3}0.914{col 55}{space 4}-18.20233{col 68}{space 3} 16.32937
{txt}{space 11}9  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}10  {c |}{col 15}{res}{space 2}-3.482022{col 27}{space 2}  10.0153{col 38}{space 1}   -0.35{col 47}{space 3}0.730{col 55}{space 4}-23.59835{col 68}{space 3}  16.6343
{txt}{space 10}11  {c |}{col 15}{res}{space 2}-23.42089{col 27}{space 2} 3.433484{col 38}{space 1}   -6.82{col 47}{space 3}0.000{col 55}{space 4}-30.31725{col 68}{space 3}-16.52454
{txt}{space 10}12  {c |}{col 15}{res}{space 2}  11.0583{col 27}{space 2} 2.847212{col 38}{space 1}    3.88{col 47}{space 3}0.000{col 55}{space 4} 5.339504{col 68}{space 3} 16.77709
{txt}{space 10}14  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}18  {c |}{col 15}{res}{space 2}-19.59458{col 27}{space 2}  .942224{col 38}{space 1}  -20.80{col 47}{space 3}0.000{col 55}{space 4}-21.48709{col 68}{space 3}-17.70206
{txt}{space 10}20  {c |}{col 15}{res}{space 2} .3916302{col 27}{space 2} 7.257591{col 38}{space 1}    0.05{col 47}{space 3}0.957{col 55}{space 4}-14.18567{col 68}{space 3} 14.96893
{txt}{space 10}21  {c |}{col 15}{res}{space 2}-5.817183{col 27}{space 2} 6.117845{col 38}{space 1}   -0.95{col 47}{space 3}0.346{col 55}{space 4}-18.10524{col 68}{space 3} 6.470871
{txt}{space 10}25  {c |}{col 15}{res}{space 2}-4.447753{col 27}{space 2} 5.836924{col 38}{space 1}   -0.76{col 47}{space 3}0.450{col 55}{space 4}-16.17156{col 68}{space 3} 7.276053
{txt}{space 10}26  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}27  {c |}{col 15}{res}{space 2} 23.08696{col 27}{space 2} 2.590158{col 38}{space 1}    8.91{col 47}{space 3}0.000{col 55}{space 4} 17.88448{col 68}{space 3} 28.28945
{txt}{space 10}28  {c |}{col 15}{res}{space 2}-5.250697{col 27}{space 2} 1.610133{col 38}{space 1}   -3.26{col 47}{space 3}0.002{col 55}{space 4}-8.484744{col 68}{space 3}-2.016649
{txt}{space 10}29  {c |}{col 15}{res}{space 2}  9.52216{col 27}{space 2}  .865672{col 38}{space 1}   11.00{col 47}{space 3}0.000{col 55}{space 4} 7.783407{col 68}{space 3} 11.26091
{txt}{space 10}30  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}31  {c |}{col 15}{res}{space 2}-1.751072{col 27}{space 2} 5.601027{col 38}{space 1}   -0.31{col 47}{space 3}0.756{col 55}{space 4}-13.00107{col 68}{space 3} 9.498921
{txt}{space 10}32  {c |}{col 15}{res}{space 2} .4330143{col 27}{space 2} 5.299177{col 38}{space 1}    0.08{col 47}{space 3}0.935{col 55}{space 4} -10.2107{col 68}{space 3} 11.07672
{txt}{space 10}33  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}34  {c |}{col 15}{res}{space 2}-8.359891{col 27}{space 2} 1.808958{col 38}{space 1}   -4.62{col 47}{space 3}0.000{col 55}{space 4}-11.99329{col 68}{space 3}-4.726492
{txt}{space 10}38  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}39  {c |}{col 15}{res}{space 2}-14.57507{col 27}{space 2}  7.16989{col 38}{space 1}   -2.03{col 47}{space 3}0.047{col 55}{space 4}-28.97622{col 68}{space 3}-.1739271
{txt}{space 10}40  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}41  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}42  {c |}{col 15}{res}{space 2}-9.664535{col 27}{space 2} 3.540822{col 38}{space 1}   -2.73{col 47}{space 3}0.009{col 55}{space 4}-16.77649{col 68}{space 3}-2.552584
{txt}{space 10}48  {c |}{col 15}{res}{space 2}-7.046491{col 27}{space 2} 6.770234{col 38}{space 1}   -1.04{col 47}{space 3}0.303{col 55}{space 4}-20.64491{col 68}{space 3} 6.551923
{txt}{space 10}49  {c |}{col 15}{res}{space 2}-5.625582{col 27}{space 2} 4.474971{col 38}{space 1}   -1.26{col 47}{space 3}0.215{col 55}{space 4}-14.61383{col 68}{space 3} 3.362661
{txt}{space 10}53  {c |}{col 15}{res}{space 2}-7.002111{col 27}{space 2}  3.31847{col 38}{space 1}   -2.11{col 47}{space 3}0.040{col 55}{space 4}-13.66745{col 68}{space 3}-.3367682
{txt}{space 10}56  {c |}{col 15}{res}{space 2}-.9160581{col 27}{space 2} 4.560858{col 38}{space 1}   -0.20{col 47}{space 3}0.842{col 55}{space 4}-10.07681{col 68}{space 3} 8.244694
{txt}{space 10}57  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}59  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}62  {c |}{col 15}{res}{space 2}-.9075469{col 27}{space 2} 2.181907{col 38}{space 1}   -0.42{col 47}{space 3}0.679{col 55}{space 4}-5.290036{col 68}{space 3} 3.474942
{txt}{space 10}65  {c |}{col 15}{res}{space 2} 5.508179{col 27}{space 2} 1.657578{col 38}{space 1}    3.32{col 47}{space 3}0.002{col 55}{space 4} 2.178837{col 68}{space 3} 8.837522
{txt}{space 10}67  {c |}{col 15}{res}{space 2}-13.02988{col 27}{space 2} 6.982381{col 38}{space 1}   -1.87{col 47}{space 3}0.068{col 55}{space 4} -27.0544{col 68}{space 3} .9946485
{txt}{space 10}69  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}70  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} 154.0079{col 27}{space 2} 6.319728{col 38}{space 1}   24.37{col 47}{space 3}0.000{col 55}{space 4} 141.3143{col 68}{space 3} 166.7014
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m2: areg weighttrimmed badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct_rd_sample_mean==1 , vce(cluster distancemean_7987_20) absorb(recid)
{txt}note: 9.state_num omitted because of collinearity
{txt}note: 12.state_num omitted because of collinearity
{txt}note: 14.state_num omitted because of collinearity
{txt}note: 18.state_num omitted because of collinearity
{txt}note: 26.state_num omitted because of collinearity
{txt}note: 30.state_num omitted because of collinearity
{txt}note: 32.state_num omitted because of collinearity
{txt}note: 33.state_num omitted because of collinearity
{txt}note: 39.state_num omitted because of collinearity
{txt}note: 40.state_num omitted because of collinearity
{txt}note: 59.state_num omitted because of collinearity
{txt}note: 69.state_num omitted because of collinearity
{txt}note: 70.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     1,138
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}       424
{txt}{col 49}{help j_robustsingular##|_new:F(  24,     50)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.8720
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7854
{txt}{col 49}Root MSE{col 67}= {res}    9.5262

{txt}{ralign 80:(Std. Err. adjusted for {res:51} clusters in distancemean_7987_20)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1} weighttrimmed{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}badstate_post {c |}{col 16}{res}{space 2}-2.213771{col 28}{space 2} 1.154955{col 39}{space 1}   -1.92{col 48}{space 3}0.061{col 56}{space 4}-4.533566{col 69}{space 3} .1060233
{txt}{space 14} {c |}
{space 10}year {c |}
{space 9}1880  {c |}{col 16}{res}{space 2}-1.777489{col 28}{space 2} 9.503535{col 39}{space 1}   -0.19{col 48}{space 3}0.852{col 56}{space 4} -20.8659{col 69}{space 3} 17.31092
{txt}{space 9}1881  {c |}{col 16}{res}{space 2} 2.706037{col 28}{space 2} 4.574662{col 39}{space 1}    0.59{col 48}{space 3}0.557{col 56}{space 4}-6.482442{col 69}{space 3} 11.89452
{txt}{space 9}1882  {c |}{col 16}{res}{space 2} 4.326853{col 28}{space 2}   4.7679{col 39}{space 1}    0.91{col 48}{space 3}0.368{col 56}{space 4}-5.249755{col 69}{space 3} 13.90346
{txt}{space 9}1883  {c |}{col 16}{res}{space 2} 3.042922{col 28}{space 2} 5.037241{col 39}{space 1}    0.60{col 48}{space 3}0.549{col 56}{space 4}-7.074675{col 69}{space 3} 13.16052
{txt}{space 9}1884  {c |}{col 16}{res}{space 2} 3.721566{col 28}{space 2} 4.725273{col 39}{space 1}    0.79{col 48}{space 3}0.435{col 56}{space 4}-5.769424{col 69}{space 3} 13.21256
{txt}{space 9}1885  {c |}{col 16}{res}{space 2}  4.79252{col 28}{space 2} 4.202375{col 39}{space 1}    1.14{col 48}{space 3}0.260{col 56}{space 4}-3.648198{col 69}{space 3} 13.23324
{txt}{space 9}1886  {c |}{col 16}{res}{space 2} 3.837057{col 28}{space 2} 4.373352{col 39}{space 1}    0.88{col 48}{space 3}0.384{col 56}{space 4}-4.947078{col 69}{space 3} 12.62119
{txt}{space 9}1887  {c |}{col 16}{res}{space 2} 5.583691{col 28}{space 2} 4.602834{col 39}{space 1}    1.21{col 48}{space 3}0.231{col 56}{space 4}-3.661374{col 69}{space 3} 14.82876
{txt}{space 14} {c |}
{space 5}state_num {c |}
{space 12}3  {c |}{col 16}{res}{space 2}-1.255207{col 28}{space 2} 8.645636{col 39}{space 1}   -0.15{col 48}{space 3}0.885{col 56}{space 4}-18.62048{col 69}{space 3} 16.11006
{txt}{space 12}9  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}10  {c |}{col 16}{res}{space 2} 18.12831{col 28}{space 2} 18.02125{col 39}{space 1}    1.01{col 48}{space 3}0.319{col 56}{space 4}-18.06844{col 69}{space 3} 54.32506
{txt}{space 11}11  {c |}{col 16}{res}{space 2}-6.662386{col 28}{space 2} 8.117036{col 39}{space 1}   -0.82{col 48}{space 3}0.416{col 56}{space 4}-22.96593{col 69}{space 3} 9.641162
{txt}{space 11}12  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}14  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}18  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}20  {c |}{col 16}{res}{space 2}   15.233{col 28}{space 2} 5.319441{col 39}{space 1}    2.86{col 48}{space 3}0.006{col 56}{space 4} 4.548587{col 69}{space 3} 25.91741
{txt}{space 11}21  {c |}{col 16}{res}{space 2} 9.146307{col 28}{space 2} 6.974177{col 39}{space 1}    1.31{col 48}{space 3}0.196{col 56}{space 4} -4.86174{col 69}{space 3} 23.15435
{txt}{space 11}25  {c |}{col 16}{res}{space 2} 10.08096{col 28}{space 2} 4.956601{col 39}{space 1}    2.03{col 48}{space 3}0.047{col 56}{space 4}  .125331{col 69}{space 3} 20.03658
{txt}{space 11}26  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}27  {c |}{col 16}{res}{space 2}-2.607215{col 28}{space 2} 3.857688{col 39}{space 1}   -0.68{col 48}{space 3}0.502{col 56}{space 4}-10.35561{col 69}{space 3} 5.141178
{txt}{space 11}28  {c |}{col 16}{res}{space 2} 13.31879{col 28}{space 2} 8.156401{col 39}{space 1}    1.63{col 48}{space 3}0.109{col 56}{space 4} -3.06382{col 69}{space 3} 29.70141
{txt}{space 11}29  {c |}{col 16}{res}{space 2}-1.720242{col 28}{space 2} 3.003882{col 39}{space 1}   -0.57{col 48}{space 3}0.569{col 56}{space 4}-7.753716{col 69}{space 3} 4.313232
{txt}{space 11}30  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}31  {c |}{col 16}{res}{space 2}  12.8022{col 28}{space 2} 6.957538{col 39}{space 1}    1.84{col 48}{space 3}0.072{col 56}{space 4} -1.17243{col 69}{space 3} 26.77682
{txt}{space 11}32  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}33  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}34  {c |}{col 16}{res}{space 2}-7.847475{col 28}{space 2} 2.895605{col 39}{space 1}   -2.71{col 48}{space 3}0.009{col 56}{space 4}-13.66347{col 69}{space 3}-2.031481
{txt}{space 11}38  {c |}{col 16}{res}{space 2}-12.46689{col 28}{space 2} 5.394547{col 39}{space 1}   -2.31{col 48}{space 3}0.025{col 56}{space 4}-23.30216{col 69}{space 3}-1.631626
{txt}{space 11}39  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}40  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}41  {c |}{col 16}{res}{space 2} 19.00977{col 28}{space 2} 7.962928{col 39}{space 1}    2.39{col 48}{space 3}0.021{col 56}{space 4} 3.015758{col 69}{space 3} 35.00378
{txt}{space 11}42  {c |}{col 16}{res}{space 2} 5.004515{col 28}{space 2} 8.597081{col 39}{space 1}    0.58{col 48}{space 3}0.563{col 56}{space 4}-12.26323{col 69}{space 3} 22.27226
{txt}{space 11}48  {c |}{col 16}{res}{space 2}  8.47725{col 28}{space 2} 8.773269{col 39}{space 1}    0.97{col 48}{space 3}0.339{col 56}{space 4}-9.144378{col 69}{space 3} 26.09888
{txt}{space 11}49  {c |}{col 16}{res}{space 2} 9.925704{col 28}{space 2} 7.963013{col 39}{space 1}    1.25{col 48}{space 3}0.218{col 56}{space 4}-6.068478{col 69}{space 3} 25.91989
{txt}{space 11}53  {c |}{col 16}{res}{space 2} 9.789069{col 28}{space 2} 7.053545{col 39}{space 1}    1.39{col 48}{space 3}0.171{col 56}{space 4}-4.378394{col 69}{space 3} 23.95653
{txt}{space 11}56  {c |}{col 16}{res}{space 2} 19.48507{col 28}{space 2} 9.322011{col 39}{space 1}    2.09{col 48}{space 3}0.042{col 56}{space 4} .7612606{col 69}{space 3} 38.20888
{txt}{space 11}59  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}62  {c |}{col 16}{res}{space 2}-.0870705{col 28}{space 2} 3.877426{col 39}{space 1}   -0.02{col 48}{space 3}0.982{col 56}{space 4} -7.87511{col 69}{space 3} 7.700969
{txt}{space 11}65  {c |}{col 16}{res}{space 2}-4.841778{col 28}{space 2} 3.862417{col 39}{space 1}   -1.25{col 48}{space 3}0.216{col 56}{space 4}-12.59967{col 69}{space 3} 2.916114
{txt}{space 11}67  {c |}{col 16}{res}{space 2}   2.5789{col 28}{space 2} 8.062209{col 39}{space 1}    0.32{col 48}{space 3}0.750{col 56}{space 4}-13.61452{col 69}{space 3} 18.77232
{txt}{space 11}69  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}70  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 14} {c |}
{space 4}agetrimmed {c |}{col 16}{res}{space 2}-.0412415{col 28}{space 2} .2597401{col 39}{space 1}   -0.16{col 48}{space 3}0.874{col 56}{space 4}-.5629448{col 69}{space 3} .4804618
{txt}{space 1}heighttrimmed {c |}{col 16}{res}{space 2} .3319678{col 28}{space 2} .7177023{col 39}{space 1}    0.46{col 48}{space 3}0.646{col 56}{space 4} -1.10958{col 69}{space 3} 1.773515
{txt}{space 2}percentblack {c |}{col 16}{res}{space 2}-.3555291{col 28}{space 2} 6.107055{col 39}{space 1}   -0.06{col 48}{space 3}0.954{col 56}{space 4}-12.62191{col 69}{space 3} 11.91085
{txt}{space 3}manufoutput {c |}{col 16}{res}{space 2} .0014138{col 28}{space 2} .0117397{col 39}{space 1}    0.12{col 48}{space 3}0.905{col 56}{space 4} -.022166{col 69}{space 3} .0249937
{txt}{space 9}urban {c |}{col 16}{res}{space 2} .3273458{col 28}{space 2} 5.784817{col 39}{space 1}    0.06{col 48}{space 3}0.955{col 56}{space 4} -11.2918{col 69}{space 3} 11.94649
{txt}proportionfarm {c |}{col 16}{res}{space 2}-1.561438{col 28}{space 2} 4.368355{col 39}{space 1}   -0.36{col 48}{space 3}0.722{col 56}{space 4}-10.33554{col 69}{space 3} 7.212661
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 125.1224{col 28}{space 2} 58.90019{col 39}{space 1}    2.12{col 48}{space 3}0.039{col 56}{space 4} 6.817932{col 69}{space 3} 243.4269
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. eststo m3: areg weighttrimmed badstate_post i.year i.state_num if usct_rd_sample_mean==1 & distancemean7987<300, vce(cluster distancemean_7987_20) absorb(recid)
{txt}note: 9.state_num omitted because of collinearity
{txt}note: 26.state_num omitted because of collinearity
{txt}note: 31.state_num omitted because of collinearity
{txt}note: 33.state_num omitted because of collinearity
{txt}note: 38.state_num omitted because of collinearity
{txt}note: 40.state_num omitted because of collinearity
{txt}note: 57.state_num omitted because of collinearity
{txt}note: 69.state_num omitted because of collinearity
{txt}note: 70.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     1,082
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}       370
{txt}{col 49}{help j_robustsingular##|_new:F(  17,     28)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.8547
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7707
{txt}{col 49}Root MSE{col 67}= {res}    9.6449

{txt}{ralign 79:(Std. Err. adjusted for {res:29} clusters in distancemean_7987_20)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}weighttrimmed{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post {c |}{col 15}{res}{space 2} -1.64126{col 27}{space 2} 1.465503{col 38}{space 1}   -1.12{col 47}{space 3}0.272{col 55}{space 4}-4.643206{col 68}{space 3} 1.360687
{txt}{space 13} {c |}
{space 9}year {c |}
{space 8}1880  {c |}{col 15}{res}{space 2} -.458955{col 27}{space 2} 9.982341{col 38}{space 1}   -0.05{col 47}{space 3}0.964{col 55}{space 4}-20.90685{col 68}{space 3} 19.98894
{txt}{space 8}1881  {c |}{col 15}{res}{space 2} 2.111808{col 27}{space 2} 6.276372{col 38}{space 1}    0.34{col 47}{space 3}0.739{col 55}{space 4}-10.74476{col 68}{space 3} 14.96837
{txt}{space 8}1882  {c |}{col 15}{res}{space 2} 3.916384{col 27}{space 2} 6.364247{col 38}{space 1}    0.62{col 47}{space 3}0.543{col 55}{space 4}-9.120185{col 68}{space 3} 16.95295
{txt}{space 8}1883  {c |}{col 15}{res}{space 2} 2.277998{col 27}{space 2} 6.651565{col 38}{space 1}    0.34{col 47}{space 3}0.735{col 55}{space 4}-11.34711{col 68}{space 3} 15.90311
{txt}{space 8}1884  {c |}{col 15}{res}{space 2}  2.85787{col 27}{space 2} 6.242648{col 38}{space 1}    0.46{col 47}{space 3}0.651{col 55}{space 4}-9.929615{col 68}{space 3} 15.64535
{txt}{space 8}1885  {c |}{col 15}{res}{space 2} 3.335347{col 27}{space 2} 5.627588{col 38}{space 1}    0.59{col 47}{space 3}0.558{col 55}{space 4}-8.192244{col 68}{space 3} 14.86294
{txt}{space 8}1886  {c |}{col 15}{res}{space 2} 2.550025{col 27}{space 2} 5.818091{col 38}{space 1}    0.44{col 47}{space 3}0.665{col 55}{space 4}-9.367794{col 68}{space 3} 14.46784
{txt}{space 8}1887  {c |}{col 15}{res}{space 2} 4.755416{col 27}{space 2} 6.045192{col 38}{space 1}    0.79{col 47}{space 3}0.438{col 55}{space 4}-7.627599{col 68}{space 3} 17.13843
{txt}{space 13} {c |}
{space 4}state_num {c |}
{space 11}3  {c |}{col 15}{res}{space 2}-.3344554{col 27}{space 2} 7.871122{col 38}{space 1}   -0.04{col 47}{space 3}0.966{col 55}{space 4}-16.45772{col 68}{space 3} 15.78881
{txt}{space 11}9  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}10  {c |}{col 15}{res}{space 2}-5.079889{col 27}{space 2} 4.799358{col 38}{space 1}   -1.06{col 47}{space 3}0.299{col 55}{space 4}-14.91093{col 68}{space 3} 4.751149
{txt}{space 10}11  {c |}{col 15}{res}{space 2}  -21.998{col 27}{space 2} 4.736434{col 38}{space 1}   -4.64{col 47}{space 3}0.000{col 55}{space 4}-31.70015{col 68}{space 3}-12.29586
{txt}{space 10}12  {c |}{col 15}{res}{space 2} 11.23605{col 27}{space 2} 2.872547{col 38}{space 1}    3.91{col 47}{space 3}0.001{col 55}{space 4} 5.351903{col 68}{space 3} 17.12019
{txt}{space 10}18  {c |}{col 15}{res}{space 2}-19.31569{col 27}{space 2} 1.019176{col 38}{space 1}  -18.95{col 47}{space 3}0.000{col 55}{space 4}-21.40337{col 68}{space 3}  -17.228
{txt}{space 10}20  {c |}{col 15}{res}{space 2} 2.263851{col 27}{space 2} 4.297697{col 38}{space 1}    0.53{col 47}{space 3}0.603{col 55}{space 4}-6.539583{col 68}{space 3} 11.06729
{txt}{space 10}21  {c |}{col 15}{res}{space 2}-3.932442{col 27}{space 2} 1.327766{col 38}{space 1}   -2.96{col 47}{space 3}0.006{col 55}{space 4}-6.652246{col 68}{space 3}-1.212637
{txt}{space 10}25  {c |}{col 15}{res}{space 2}-2.581653{col 27}{space 2}  3.91308{col 38}{space 1}   -0.66{col 47}{space 3}0.515{col 55}{space 4}-10.59723{col 68}{space 3} 5.433928
{txt}{space 10}26  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}28  {c |}{col 15}{res}{space 2}-2.273507{col 27}{space 2} 5.903544{col 38}{space 1}   -0.39{col 47}{space 3}0.703{col 55}{space 4}-14.36637{col 68}{space 3} 9.819355
{txt}{space 10}29  {c |}{col 15}{res}{space 2} 9.548991{col 27}{space 2} .8995296{col 38}{space 1}   10.62{col 47}{space 3}0.000{col 55}{space 4} 7.706388{col 68}{space 3} 11.39159
{txt}{space 10}31  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}33  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}34  {c |}{col 15}{res}{space 2}-8.739046{col 27}{space 2} 1.946718{col 38}{space 1}   -4.49{col 47}{space 3}0.000{col 55}{space 4}-12.72672{col 68}{space 3}-4.751374
{txt}{space 10}38  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}40  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}42  {c |}{col 15}{res}{space 2}-8.069486{col 27}{space 2} 6.491148{col 38}{space 1}   -1.24{col 47}{space 3}0.224{col 55}{space 4}  -21.366{col 68}{space 3} 5.227027
{txt}{space 10}48  {c |}{col 15}{res}{space 2}-7.023748{col 27}{space 2} 4.599484{col 38}{space 1}   -1.53{col 47}{space 3}0.138{col 55}{space 4}-16.44536{col 68}{space 3} 2.397869
{txt}{space 10}49  {c |}{col 15}{res}{space 2}-3.758526{col 27}{space 2} 4.070968{col 38}{space 1}   -0.92{col 47}{space 3}0.364{col 55}{space 4}-12.09753{col 68}{space 3} 4.580475
{txt}{space 10}53  {c |}{col 15}{res}{space 2}-5.300209{col 27}{space 2} 4.562798{col 38}{space 1}   -1.16{col 47}{space 3}0.255{col 55}{space 4}-14.64668{col 68}{space 3}  4.04626
{txt}{space 10}56  {c |}{col 15}{res}{space 2}-16.17257{col 27}{space 2}  5.42733{col 38}{space 1}   -2.98{col 47}{space 3}0.006{col 55}{space 4}-27.28995{col 68}{space 3}-5.055191
{txt}{space 10}57  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}62  {c |}{col 15}{res}{space 2}-.8573288{col 27}{space 2} 2.440306{col 38}{space 1}   -0.35{col 47}{space 3}0.728{col 55}{space 4}-5.856068{col 68}{space 3} 4.141411
{txt}{space 10}65  {c |}{col 15}{res}{space 2} 5.839056{col 27}{space 2} 1.711816{col 38}{space 1}    3.41{col 47}{space 3}0.002{col 55}{space 4}  2.33256{col 68}{space 3} 9.345551
{txt}{space 10}69  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}70  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} 153.5551{col 27}{space 2} 6.480282{col 38}{space 1}   23.70{col 47}{space 3}0.000{col 55}{space 4} 140.2808{col 68}{space 3} 166.8293
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m4: areg weighttrimmed badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct_rd_sample_mean==1 & distancemean7987<300 , vce(cluster distancemean_7987_20) absorb(recid)
{txt}note: 9.state_num omitted because of collinearity
{txt}note: 18.state_num omitted because of collinearity
{txt}note: 26.state_num omitted because of collinearity
{txt}note: 31.state_num omitted because of collinearity
{txt}note: 33.state_num omitted because of collinearity
{txt}note: 38.state_num omitted because of collinearity
{txt}note: 40.state_num omitted because of collinearity
{txt}note: 56.state_num omitted because of collinearity
{txt}note: 69.state_num omitted because of collinearity
{txt}note: 70.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     1,000
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}       370
{txt}{col 49}{help j_robustsingular##|_new:F(  23,     28)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.8624
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7705
{txt}{col 49}Root MSE{col 67}= {res}    9.6987

{txt}{ralign 80:(Std. Err. adjusted for {res:29} clusters in distancemean_7987_20)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1} weighttrimmed{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}badstate_post {c |}{col 16}{res}{space 2}-2.254783{col 28}{space 2} 1.207407{col 39}{space 1}   -1.87{col 48}{space 3}0.072{col 56}{space 4}-4.728043{col 69}{space 3} .2184776
{txt}{space 14} {c |}
{space 10}year {c |}
{space 9}1880  {c |}{col 16}{res}{space 2}-1.637257{col 28}{space 2} 11.57112{col 39}{space 1}   -0.14{col 48}{space 3}0.888{col 56}{space 4}-25.33961{col 69}{space 3}  22.0651
{txt}{space 9}1881  {c |}{col 16}{res}{space 2} 3.119012{col 28}{space 2}  5.96513{col 39}{space 1}    0.52{col 48}{space 3}0.605{col 56}{space 4}-9.100003{col 69}{space 3} 15.33803
{txt}{space 9}1882  {c |}{col 16}{res}{space 2} 5.083481{col 28}{space 2} 6.057953{col 39}{space 1}    0.84{col 48}{space 3}0.408{col 56}{space 4}-7.325674{col 69}{space 3} 17.49264
{txt}{space 9}1883  {c |}{col 16}{res}{space 2} 3.426747{col 28}{space 2} 6.536938{col 39}{space 1}    0.52{col 48}{space 3}0.604{col 56}{space 4}-9.963564{col 69}{space 3} 16.81706
{txt}{space 9}1884  {c |}{col 16}{res}{space 2} 3.793887{col 28}{space 2}  6.01349{col 39}{space 1}    0.63{col 48}{space 3}0.533{col 56}{space 4} -8.52419{col 69}{space 3} 16.11196
{txt}{space 9}1885  {c |}{col 16}{res}{space 2} 4.955584{col 28}{space 2} 5.583244{col 39}{space 1}    0.89{col 48}{space 3}0.382{col 56}{space 4}-6.481172{col 69}{space 3} 16.39234
{txt}{space 9}1886  {c |}{col 16}{res}{space 2} 4.303544{col 28}{space 2} 5.728082{col 39}{space 1}    0.75{col 48}{space 3}0.459{col 56}{space 4}-7.429899{col 69}{space 3} 16.03699
{txt}{space 9}1887  {c |}{col 16}{res}{space 2} 6.652885{col 28}{space 2}  5.89872{col 39}{space 1}    1.13{col 48}{space 3}0.269{col 56}{space 4}-5.430095{col 69}{space 3} 18.73586
{txt}{space 14} {c |}
{space 5}state_num {c |}
{space 12}3  {c |}{col 16}{res}{space 2}-1.134944{col 28}{space 2} 8.404967{col 39}{space 1}   -0.14{col 48}{space 3}0.894{col 56}{space 4}-18.35174{col 69}{space 3} 16.08185
{txt}{space 12}9  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}10  {c |}{col 16}{res}{space 2}  11.9302{col 28}{space 2} 4.057055{col 39}{space 1}    2.94{col 48}{space 3}0.007{col 56}{space 4} 3.619698{col 69}{space 3}  20.2407
{txt}{space 11}11  {c |}{col 16}{res}{space 2}-20.72951{col 28}{space 2} 6.876687{col 39}{space 1}   -3.01{col 48}{space 3}0.005{col 56}{space 4}-34.81577{col 69}{space 3} -6.64326
{txt}{space 11}12  {c |}{col 16}{res}{space 2}  12.5982{col 28}{space 2}  6.83385{col 39}{space 1}    1.84{col 48}{space 3}0.076{col 56}{space 4}-1.400308{col 69}{space 3}  26.5967
{txt}{space 11}18  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}20  {c |}{col 16}{res}{space 2} 2.452432{col 28}{space 2} 5.530121{col 39}{space 1}    0.44{col 48}{space 3}0.661{col 56}{space 4}-8.875508{col 69}{space 3} 13.78037
{txt}{space 11}21  {c |}{col 16}{res}{space 2}-3.613898{col 28}{space 2} 2.033698{col 39}{space 1}   -1.78{col 48}{space 3}0.086{col 56}{space 4} -7.77974{col 69}{space 3} .5519444
{txt}{space 11}25  {c |}{col 16}{res}{space 2}-2.896171{col 28}{space 2} 4.680712{col 39}{space 1}   -0.62{col 48}{space 3}0.541{col 56}{space 4}-12.48417{col 69}{space 3} 6.691834
{txt}{space 11}26  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}28  {c |}{col 16}{res}{space 2}  .938784{col 28}{space 2}  5.49683{col 39}{space 1}    0.17{col 48}{space 3}0.866{col 56}{space 4}-10.32096{col 69}{space 3} 12.19853
{txt}{space 11}29  {c |}{col 16}{res}{space 2} 10.74839{col 28}{space 2} 6.219631{col 39}{space 1}    1.73{col 48}{space 3}0.095{col 56}{space 4}-1.991944{col 69}{space 3} 23.48873
{txt}{space 11}31  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}33  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}34  {c |}{col 16}{res}{space 2} -8.00424{col 28}{space 2} 2.864323{col 39}{space 1}   -2.79{col 48}{space 3}0.009{col 56}{space 4}-13.87154{col 69}{space 3} -2.13694
{txt}{space 11}38  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}40  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}42  {c |}{col 16}{res}{space 2}-8.155448{col 28}{space 2} 6.313645{col 39}{space 1}   -1.29{col 48}{space 3}0.207{col 56}{space 4}-21.08836{col 69}{space 3} 4.777467
{txt}{space 11}48  {c |}{col 16}{res}{space 2}-4.656371{col 28}{space 2}  5.67559{col 39}{space 1}   -0.82{col 48}{space 3}0.419{col 56}{space 4}-16.28229{col 69}{space 3} 6.969548
{txt}{space 11}49  {c |}{col 16}{res}{space 2}-3.525104{col 28}{space 2} 5.349517{col 39}{space 1}   -0.66{col 48}{space 3}0.515{col 56}{space 4}-14.48309{col 69}{space 3} 7.432885
{txt}{space 11}53  {c |}{col 16}{res}{space 2}-3.371247{col 28}{space 2} 4.753398{col 39}{space 1}   -0.71{col 48}{space 3}0.484{col 56}{space 4}-13.10814{col 69}{space 3} 6.365647
{txt}{space 11}56  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}62  {c |}{col 16}{res}{space 2}-.1124028{col 28}{space 2} 3.958564{col 39}{space 1}   -0.03{col 48}{space 3}0.978{col 56}{space 4}-8.221153{col 69}{space 3} 7.996347
{txt}{space 11}65  {c |}{col 16}{res}{space 2} 7.542462{col 28}{space 2} 6.441248{col 39}{space 1}    1.17{col 48}{space 3}0.251{col 56}{space 4}-5.651837{col 69}{space 3} 20.73676
{txt}{space 11}69  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}70  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 14} {c |}
{space 4}agetrimmed {c |}{col 16}{res}{space 2}-.0958516{col 28}{space 2} .2777866{col 39}{space 1}   -0.35{col 48}{space 3}0.733{col 56}{space 4}-.6648716{col 69}{space 3} .4731685
{txt}{space 1}heighttrimmed {c |}{col 16}{res}{space 2} .3752234{col 28}{space 2} .7902417{col 39}{space 1}    0.47{col 48}{space 3}0.639{col 56}{space 4}-1.243513{col 69}{space 3}  1.99396
{txt}{space 2}percentblack {c |}{col 16}{res}{space 2} -.381335{col 28}{space 2}  7.76129{col 39}{space 1}   -0.05{col 48}{space 3}0.961{col 56}{space 4}-16.27962{col 69}{space 3} 15.51695
{txt}{space 3}manufoutput {c |}{col 16}{res}{space 2}-.0021331{col 28}{space 2} .0132858{col 39}{space 1}   -0.16{col 48}{space 3}0.874{col 56}{space 4}-.0293478{col 69}{space 3} .0250816
{txt}{space 9}urban {c |}{col 16}{res}{space 2} 1.352078{col 28}{space 2} 7.718027{col 39}{space 1}    0.18{col 48}{space 3}0.862{col 56}{space 4}-14.45758{col 69}{space 3} 17.16174
{txt}proportionfarm {c |}{col 16}{res}{space 2}-.9626977{col 28}{space 2} 4.837331{col 39}{space 1}   -0.20{col 48}{space 3}0.844{col 56}{space 4}-10.87152{col 69}{space 3} 8.946125
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}  131.121{col 28}{space 2} 68.55637{col 39}{space 1}    1.91{col 48}{space 3}0.066{col 56}{space 4}-9.310315{col 69}{space 3} 271.5524
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. eststo m5: areg weighttrimmed badstate_post i.year i.state_num if usct_rd_sample_mean==1 & distancemean7987<200, vce(cluster distancemean_7987_20) absorb(recid)
{txt}note: 9.state_num omitted because of collinearity
{txt}note: 10.state_num omitted because of collinearity
{txt}note: 12.state_num omitted because of collinearity
{txt}note: 26.state_num omitted because of collinearity
{txt}note: 33.state_num omitted because of collinearity
{txt}note: 40.state_num omitted because of collinearity
{txt}note: 57.state_num omitted because of collinearity
{txt}note: 70.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       868
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}       297
{txt}{col 49}{help j_robustsingular##|_new:F(  15,     19)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.8364
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7407
{txt}{col 49}Root MSE{col 67}= {res}   10.1891

{txt}{ralign 79:(Std. Err. adjusted for {res:20} clusters in distancemean_7987_20)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}weighttrimmed{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post {c |}{col 15}{res}{space 2}-1.908129{col 27}{space 2} 1.574642{col 38}{space 1}   -1.21{col 47}{space 3}0.240{col 55}{space 4}-5.203892{col 68}{space 3} 1.387634
{txt}{space 13} {c |}
{space 9}year {c |}
{space 8}1880  {c |}{col 15}{res}{space 2}-1.674095{col 27}{space 2} 11.17707{col 38}{space 1}   -0.15{col 47}{space 3}0.883{col 55}{space 4}-25.06796{col 68}{space 3} 21.71977
{txt}{space 8}1881  {c |}{col 15}{res}{space 2} 2.166368{col 27}{space 2} 6.375178{col 38}{space 1}    0.34{col 47}{space 3}0.738{col 55}{space 4}-11.17703{col 68}{space 3} 15.50977
{txt}{space 8}1882  {c |}{col 15}{res}{space 2} 3.471453{col 27}{space 2} 6.446827{col 38}{space 1}    0.54{col 47}{space 3}0.597{col 55}{space 4}-10.02191{col 68}{space 3} 16.96482
{txt}{space 8}1883  {c |}{col 15}{res}{space 2} 2.449137{col 27}{space 2} 6.892157{col 38}{space 1}    0.36{col 47}{space 3}0.726{col 55}{space 4}-11.97631{col 68}{space 3} 16.87459
{txt}{space 8}1884  {c |}{col 15}{res}{space 2} 2.363017{col 27}{space 2} 6.375588{col 38}{space 1}    0.37{col 47}{space 3}0.715{col 55}{space 4}-10.98124{col 68}{space 3} 15.70727
{txt}{space 8}1885  {c |}{col 15}{res}{space 2} 3.375536{col 27}{space 2} 5.575424{col 38}{space 1}    0.61{col 47}{space 3}0.552{col 55}{space 4}-8.293961{col 68}{space 3} 15.04503
{txt}{space 8}1886  {c |}{col 15}{res}{space 2} 2.626656{col 27}{space 2}  5.86389{col 38}{space 1}    0.45{col 47}{space 3}0.659{col 55}{space 4}-9.646606{col 68}{space 3} 14.89992
{txt}{space 8}1887  {c |}{col 15}{res}{space 2} 5.164028{col 27}{space 2} 6.126562{col 38}{space 1}    0.84{col 47}{space 3}0.410{col 55}{space 4}-7.659015{col 68}{space 3} 17.98707
{txt}{space 13} {c |}
{space 4}state_num {c |}
{space 11}3  {c |}{col 15}{res}{space 2}-12.15792{col 27}{space 2} 6.769056{col 38}{space 1}   -1.80{col 47}{space 3}0.088{col 55}{space 4}-26.32572{col 68}{space 3} 2.009872
{txt}{space 11}9  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}10  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}11  {c |}{col 15}{res}{space 2}-16.24442{col 27}{space 2} 2.566438{col 38}{space 1}   -6.33{col 47}{space 3}0.000{col 55}{space 4}-21.61604{col 68}{space 3}-10.87281
{txt}{space 10}12  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}18  {c |}{col 15}{res}{space 2}-19.08294{col 27}{space 2} 1.244979{col 38}{space 1}  -15.33{col 47}{space 3}0.000{col 55}{space 4}-21.68871{col 68}{space 3}-16.47717
{txt}{space 10}20  {c |}{col 15}{res}{space 2} 5.831336{col 27}{space 2}  7.25554{col 38}{space 1}    0.80{col 47}{space 3}0.432{col 55}{space 4}-9.354683{col 68}{space 3} 21.01735
{txt}{space 10}21  {c |}{col 15}{res}{space 2} .4154974{col 27}{space 2} 6.267374{col 38}{space 1}    0.07{col 47}{space 3}0.948{col 55}{space 4}-12.70227{col 68}{space 3} 13.53326
{txt}{space 10}25  {c |}{col 15}{res}{space 2} 2.555283{col 27}{space 2}  5.01625{col 38}{space 1}    0.51{col 47}{space 3}0.616{col 55}{space 4}-7.943849{col 68}{space 3} 13.05441
{txt}{space 10}26  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}29  {c |}{col 15}{res}{space 2}-1.790415{col 27}{space 2} 2.832173{col 38}{space 1}   -0.63{col 47}{space 3}0.535{col 55}{space 4} -7.71822{col 68}{space 3} 4.137391
{txt}{space 10}33  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}34  {c |}{col 15}{res}{space 2}-8.587871{col 27}{space 2} 1.274254{col 38}{space 1}   -6.74{col 47}{space 3}0.000{col 55}{space 4}-11.25492{col 68}{space 3}-5.920827
{txt}{space 10}38  {c |}{col 15}{res}{space 2}-11.43486{col 27}{space 2} 3.050168{col 38}{space 1}   -3.75{col 47}{space 3}0.001{col 55}{space 4}-17.81894{col 68}{space 3}-5.050789
{txt}{space 10}40  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}42  {c |}{col 15}{res}{space 2}-1.967819{col 27}{space 2} 3.578166{col 38}{space 1}   -0.55{col 47}{space 3}0.589{col 55}{space 4}-9.457007{col 68}{space 3} 5.521369
{txt}{space 10}48  {c |}{col 15}{res}{space 2} -1.32512{col 27}{space 2} 2.048886{col 38}{space 1}   -0.65{col 47}{space 3}0.526{col 55}{space 4}-5.613489{col 68}{space 3} 2.963248
{txt}{space 10}49  {c |}{col 15}{res}{space 2} 1.223103{col 27}{space 2} 2.192489{col 38}{space 1}    0.56{col 47}{space 3}0.583{col 55}{space 4} -3.36583{col 68}{space 3} 5.812036
{txt}{space 10}53  {c |}{col 15}{res}{space 2} .3840479{col 27}{space 2} 1.933225{col 38}{space 1}    0.20{col 47}{space 3}0.845{col 55}{space 4}-3.662239{col 68}{space 3} 4.430335
{txt}{space 10}57  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}62  {c |}{col 15}{res}{space 2} -.028941{col 27}{space 2} 1.243025{col 38}{space 1}   -0.02{col 47}{space 3}0.982{col 55}{space 4}-2.630623{col 68}{space 3} 2.572741
{txt}{space 10}65  {c |}{col 15}{res}{space 2}-5.398264{col 27}{space 2} 2.484653{col 38}{space 1}   -2.17{col 47}{space 3}0.043{col 55}{space 4} -10.5987{col 68}{space 3} -.197826
{txt}{space 10}70  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} 151.9249{col 27}{space 2} 6.526748{col 38}{space 1}   23.28{col 47}{space 3}0.000{col 55}{space 4} 138.2642{col 68}{space 3} 165.5855
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m6: areg weighttrimmed badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct_rd_sample_mean==1 & distancemean7987<200 , vce(cluster distancemean_7987_20) absorb(recid)
{txt}note: 9.state_num omitted because of collinearity
{txt}note: 10.state_num omitted because of collinearity
{txt}note: 18.state_num omitted because of collinearity
{txt}note: 26.state_num omitted because of collinearity
{txt}note: 33.state_num omitted because of collinearity
{txt}note: 38.state_num omitted because of collinearity
{txt}note: 40.state_num omitted because of collinearity
{txt}note: 48.state_num omitted because of collinearity
{txt}note: 70.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       793
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}       297
{txt}{col 49}{help j_robustsingular##|_new:F(  19,     19)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.8475
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7419
{txt}{col 49}Root MSE{col 67}= {res}   10.2404

{txt}{ralign 80:(Std. Err. adjusted for {res:20} clusters in distancemean_7987_20)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1} weighttrimmed{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}badstate_post {c |}{col 16}{res}{space 2}-2.215184{col 28}{space 2} 1.266399{col 39}{space 1}   -1.75{col 48}{space 3}0.096{col 56}{space 4}-4.865788{col 69}{space 3}   .43542
{txt}{space 14} {c |}
{space 10}year {c |}
{space 9}1880  {c |}{col 16}{res}{space 2}-2.918336{col 28}{space 2} 13.87027{col 39}{space 1}   -0.21{col 48}{space 3}0.836{col 56}{space 4}-31.94915{col 69}{space 3} 26.11247
{txt}{space 9}1881  {c |}{col 16}{res}{space 2} 3.843643{col 28}{space 2} 6.583477{col 39}{space 1}    0.58{col 48}{space 3}0.566{col 56}{space 4}-9.935733{col 69}{space 3} 17.62302
{txt}{space 9}1882  {c |}{col 16}{res}{space 2} 5.391824{col 28}{space 2} 6.610465{col 39}{space 1}    0.82{col 48}{space 3}0.425{col 56}{space 4}-8.444039{col 69}{space 3} 19.22769
{txt}{space 9}1883  {c |}{col 16}{res}{space 2}  4.49038{col 28}{space 2} 7.262887{col 39}{space 1}    0.62{col 48}{space 3}0.544{col 56}{space 4}-10.71102{col 69}{space 3} 19.69178
{txt}{space 9}1884  {c |}{col 16}{res}{space 2} 4.104008{col 28}{space 2}  6.55001{col 39}{space 1}    0.63{col 48}{space 3}0.538{col 56}{space 4}-9.605321{col 69}{space 3} 17.81334
{txt}{space 9}1885  {c |}{col 16}{res}{space 2} 6.664902{col 28}{space 2} 6.021112{col 39}{space 1}    1.11{col 48}{space 3}0.282{col 56}{space 4} -5.93743{col 69}{space 3} 19.26723
{txt}{space 9}1886  {c |}{col 16}{res}{space 2} 6.205837{col 28}{space 2} 6.209072{col 39}{space 1}    1.00{col 48}{space 3}0.330{col 56}{space 4}-6.789899{col 69}{space 3} 19.20157
{txt}{space 9}1887  {c |}{col 16}{res}{space 2}  9.04843{col 28}{space 2} 6.456168{col 39}{space 1}    1.40{col 48}{space 3}0.177{col 56}{space 4}-4.464485{col 69}{space 3} 22.56135
{txt}{space 14} {c |}
{space 5}state_num {c |}
{space 12}3  {c |}{col 16}{res}{space 2}-5.679591{col 28}{space 2} 6.550062{col 39}{space 1}   -0.87{col 48}{space 3}0.397{col 56}{space 4}-19.38903{col 69}{space 3} 8.029846
{txt}{space 12}9  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}10  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}11  {c |}{col 16}{res}{space 2}-17.81514{col 28}{space 2} 10.06835{col 39}{space 1}   -1.77{col 48}{space 3}0.093{col 56}{space 4}-38.88844{col 69}{space 3} 3.258154
{txt}{space 11}12  {c |}{col 16}{res}{space 2} 8.083728{col 28}{space 2} 7.740942{col 39}{space 1}    1.04{col 48}{space 3}0.309{col 56}{space 4} -8.11825{col 69}{space 3} 24.28571
{txt}{space 11}18  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}20  {c |}{col 16}{res}{space 2} 4.005616{col 28}{space 2} 10.89189{col 39}{space 1}    0.37{col 48}{space 3}0.717{col 56}{space 4}-18.79137{col 69}{space 3}  26.8026
{txt}{space 11}21  {c |}{col 16}{res}{space 2}-.8756756{col 28}{space 2} 9.320443{col 39}{space 1}   -0.09{col 48}{space 3}0.926{col 56}{space 4}-20.38359{col 69}{space 3} 18.63224
{txt}{space 11}25  {c |}{col 16}{res}{space 2}-1.231254{col 28}{space 2} 8.272118{col 39}{space 1}   -0.15{col 48}{space 3}0.883{col 56}{space 4}  -18.545{col 69}{space 3} 16.08249
{txt}{space 11}26  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}29  {c |}{col 16}{res}{space 2} 7.026441{col 28}{space 2} 6.477703{col 39}{space 1}    1.08{col 48}{space 3}0.292{col 56}{space 4}-6.531547{col 69}{space 3} 20.58443
{txt}{space 11}33  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}34  {c |}{col 16}{res}{space 2}-1.762852{col 28}{space 2}  4.28673{col 39}{space 1}   -0.41{col 48}{space 3}0.686{col 56}{space 4}-10.73508{col 69}{space 3} 7.209377
{txt}{space 11}38  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}40  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}42  {c |}{col 16}{res}{space 2}-3.916883{col 28}{space 2} 2.189428{col 39}{space 1}   -1.79{col 48}{space 3}0.090{col 56}{space 4}-8.499409{col 69}{space 3} .6656426
{txt}{space 11}48  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}49  {c |}{col 16}{res}{space 2}-1.523679{col 28}{space 2} 8.460076{col 39}{space 1}   -0.18{col 48}{space 3}0.859{col 56}{space 4}-19.23082{col 69}{space 3} 16.18346
{txt}{space 11}53  {c |}{col 16}{res}{space 2}-.8336554{col 28}{space 2} 5.379431{col 39}{space 1}   -0.15{col 48}{space 3}0.878{col 56}{space 4}-12.09293{col 69}{space 3} 10.42562
{txt}{space 11}62  {c |}{col 16}{res}{space 2} 7.927605{col 28}{space 2} 4.461576{col 39}{space 1}    1.78{col 48}{space 3}0.092{col 56}{space 4} -1.41058{col 69}{space 3} 17.26579
{txt}{space 11}65  {c |}{col 16}{res}{space 2} 5.716096{col 28}{space 2}   7.4764{col 39}{space 1}    0.76{col 48}{space 3}0.454{col 56}{space 4} -9.93219{col 69}{space 3} 21.36438
{txt}{space 11}70  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 14} {c |}
{space 4}agetrimmed {c |}{col 16}{res}{space 2}-.3280282{col 28}{space 2} .3362113{col 39}{space 1}   -0.98{col 48}{space 3}0.341{col 56}{space 4}-1.031727{col 69}{space 3} .3756702
{txt}{space 1}heighttrimmed {c |}{col 16}{res}{space 2} .2256857{col 28}{space 2} .8781665{col 39}{space 1}    0.26{col 48}{space 3}0.800{col 56}{space 4}-1.612338{col 69}{space 3} 2.063709
{txt}{space 2}percentblack {c |}{col 16}{res}{space 2}-8.038266{col 28}{space 2} 9.963892{col 39}{space 1}   -0.81{col 48}{space 3}0.430{col 56}{space 4}-28.89293{col 69}{space 3}  12.8164
{txt}{space 3}manufoutput {c |}{col 16}{res}{space 2}-.0041853{col 28}{space 2} .0165984{col 39}{space 1}   -0.25{col 48}{space 3}0.804{col 56}{space 4}-.0389262{col 69}{space 3} .0305556
{txt}{space 9}urban {c |}{col 16}{res}{space 2}  3.33418{col 28}{space 2}  9.62796{col 39}{space 1}    0.35{col 48}{space 3}0.733{col 56}{space 4}-16.81737{col 69}{space 3} 23.48573
{txt}proportionfarm {c |}{col 16}{res}{space 2}-3.961677{col 28}{space 2} 4.736862{col 39}{space 1}   -0.84{col 48}{space 3}0.413{col 56}{space 4}-13.87604{col 69}{space 3} 5.952688
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 152.7328{col 28}{space 2}  78.5178{col 39}{space 1}    1.95{col 48}{space 3}0.067{col 56}{space 4}-11.60683{col 69}{space 3} 317.0725
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. estout m1 m2 m3 m4 m5 m6 using Table4.tex, replace style(tex) collabels(none) mlabels("Model 1" "Model 2" "Model 3" "Model 4" "Model 5" "Model 6", span prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) prehead("\begin{c -(}table{c )-}[htbp!]\caption{c -(}@title{c )-}" "\begin{c -(}center{c )-}" "\scriptsize" "\begin{c -(}threeparttable{c )-}"  "\begin{c -(}tabular{c )-}{c -(}l*{c -(}@M{c )-}{c -(}rr{c )-}{c )-}" "\hline")  cells(  b(star fmt(2)) se(par fmt(2)) ) starlevels(* .10 ** .05 *** .01)   s( N ) 
{res}{txt}(note: file Table4.tex not found)
(output written to {browse  `"Table4.tex"'})

{com}. 
. *Table 5
. 
. eststo m1: reg weighttrimmed badstate_post i.year i.state_num if ua_rd_sample_mean==1 , cluster(distancemean_7987_20)

{txt}Linear regression                               Number of obs     = {res}     7,833
                                                {txt}{help j_robustsingular:F(44, 72) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0165
                                                {txt}Root MSE          =    {res} 19.703

{txt}{ralign 79:(Std. Err. adjusted for {res:73} clusters in distancemean_7987_20)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}weighttrimmed{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post {c |}{col 15}{res}{space 2} 2.611971{col 27}{space 2} 1.084802{col 38}{space 1}    2.41{col 47}{space 3}0.019{col 55}{space 4} .4494584{col 68}{space 3} 4.774484
{txt}{space 13} {c |}
{space 9}year {c |}
{space 8}1880  {c |}{col 15}{res}{space 2}  1.73815{col 27}{space 2}  2.64145{col 38}{space 1}    0.66{col 47}{space 3}0.513{col 55}{space 4}-3.527483{col 68}{space 3} 7.003784
{txt}{space 8}1881  {c |}{col 15}{res}{space 2} .9954254{col 27}{space 2}   2.2227{col 38}{space 1}    0.45{col 47}{space 3}0.656{col 55}{space 4}-3.435446{col 68}{space 3} 5.426297
{txt}{space 8}1882  {c |}{col 15}{res}{space 2} 1.422535{col 27}{space 2} 2.342455{col 38}{space 1}    0.61{col 47}{space 3}0.546{col 55}{space 4}-3.247064{col 68}{space 3} 6.092134
{txt}{space 8}1883  {c |}{col 15}{res}{space 2} 2.620364{col 27}{space 2} 2.216158{col 38}{space 1}    1.18{col 47}{space 3}0.241{col 55}{space 4}-1.797465{col 68}{space 3} 7.038194
{txt}{space 8}1884  {c |}{col 15}{res}{space 2} .8109106{col 27}{space 2} 2.418987{col 38}{space 1}    0.34{col 47}{space 3}0.738{col 55}{space 4}-4.011252{col 68}{space 3} 5.633073
{txt}{space 8}1885  {c |}{col 15}{res}{space 2}-.1653909{col 27}{space 2} 2.167053{col 38}{space 1}   -0.08{col 47}{space 3}0.939{col 55}{space 4}-4.485333{col 68}{space 3} 4.154551
{txt}{space 8}1886  {c |}{col 15}{res}{space 2} 2.098712{col 27}{space 2} 2.424746{col 38}{space 1}    0.87{col 47}{space 3}0.390{col 55}{space 4}-2.734931{col 68}{space 3} 6.932356
{txt}{space 8}1887  {c |}{col 15}{res}{space 2} 2.507884{col 27}{space 2}  2.19445{col 38}{space 1}    1.14{col 47}{space 3}0.257{col 55}{space 4}-1.866671{col 68}{space 3}  6.88244
{txt}{space 13} {c |}
{space 4}state_num {c |}
{space 11}3  {c |}{col 15}{res}{space 2} -4.24622{col 27}{space 2} 4.564043{col 38}{space 1}   -0.93{col 47}{space 3}0.355{col 55}{space 4}-13.34447{col 68}{space 3} 4.852033
{txt}{space 11}6  {c |}{col 15}{res}{space 2} 6.529912{col 27}{space 2} 4.715512{col 38}{space 1}    1.38{col 47}{space 3}0.170{col 55}{space 4}-2.870289{col 68}{space 3} 15.93011
{txt}{space 11}9  {c |}{col 15}{res}{space 2} 4.377012{col 27}{space 2} 4.927147{col 38}{space 1}    0.89{col 47}{space 3}0.377{col 55}{space 4}-5.445075{col 68}{space 3}  14.1991
{txt}{space 10}10  {c |}{col 15}{res}{space 2} 5.383442{col 27}{space 2} 6.270164{col 38}{space 1}    0.86{col 47}{space 3}0.393{col 55}{space 4}-7.115901{col 68}{space 3} 17.88279
{txt}{space 10}11  {c |}{col 15}{res}{space 2} 17.93672{col 27}{space 2} 7.863661{col 38}{space 1}    2.28{col 47}{space 3}0.026{col 55}{space 4} 2.260799{col 68}{space 3} 33.61264
{txt}{space 10}12  {c |}{col 15}{res}{space 2}-6.629255{col 27}{space 2} 3.029536{col 38}{space 1}   -2.19{col 47}{space 3}0.032{col 55}{space 4}-12.66852{col 68}{space 3}-.5899856
{txt}{space 10}13  {c |}{col 15}{res}{space 2} 8.414009{col 27}{space 2} .9602511{col 38}{space 1}    8.76{col 47}{space 3}0.000{col 55}{space 4} 6.499783{col 68}{space 3} 10.32823
{txt}{space 10}14  {c |}{col 15}{res}{space 2}-6.197963{col 27}{space 2} .8040486{col 38}{space 1}   -7.71{col 47}{space 3}0.000{col 55}{space 4}-7.800804{col 68}{space 3}-4.595121
{txt}{space 10}15  {c |}{col 15}{res}{space 2} .5900125{col 27}{space 2} .3806111{col 38}{space 1}    1.55{col 47}{space 3}0.125{col 55}{space 4}-.1687218{col 68}{space 3} 1.348747
{txt}{space 10}18  {c |}{col 15}{res}{space 2} 3.511253{col 27}{space 2} 1.641614{col 38}{space 1}    2.14{col 47}{space 3}0.036{col 55}{space 4} .2387554{col 68}{space 3}  6.78375
{txt}{space 10}20  {c |}{col 15}{res}{space 2} .6488576{col 27}{space 2} 1.280206{col 38}{space 1}    0.51{col 47}{space 3}0.614{col 55}{space 4}-1.903186{col 68}{space 3} 3.200902
{txt}{space 10}21  {c |}{col 15}{res}{space 2} 2.597126{col 27}{space 2} 1.818956{col 38}{space 1}    1.43{col 47}{space 3}0.158{col 55}{space 4}-1.028896{col 68}{space 3} 6.223148
{txt}{space 10}25  {c |}{col 15}{res}{space 2} 2.567092{col 27}{space 2} 1.136174{col 38}{space 1}    2.26{col 47}{space 3}0.027{col 55}{space 4} .3021707{col 68}{space 3} 4.832014
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{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} 144.4873{col 27}{space 2} 2.332578{col 38}{space 1}   61.94{col 47}{space 3}0.000{col 55}{space 4} 139.8374{col 68}{space 3} 149.1372
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m2: reg weighttrimmed badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if ua_rd_sample_mean==1 , cluster(distancemean_7987_20)

{txt}Linear regression                               Number of obs     = {res}     7,546
                                                {txt}{help j_robustsingular:F(47, 72) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1860
                                                {txt}Root MSE          =    {res} 17.983

{txt}{ralign 80:(Std. Err. adjusted for {res:73} clusters in distancemean_7987_20)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1} weighttrimmed{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
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{txt}{space 14} {c |}
{space 10}year {c |}
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{txt}{space 9}1881  {c |}{col 16}{res}{space 2} 2.291189{col 28}{space 2} 1.982657{col 39}{space 1}    1.16{col 48}{space 3}0.252{col 56}{space 4}-1.661165{col 69}{space 3} 6.243543
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{txt}{space 9}1885  {c |}{col 16}{res}{space 2} 2.213269{col 28}{space 2}  2.03162{col 39}{space 1}    1.09{col 48}{space 3}0.280{col 56}{space 4}-1.836691{col 69}{space 3}  6.26323
{txt}{space 9}1886  {c |}{col 16}{res}{space 2}  4.76299{col 28}{space 2} 2.272468{col 39}{space 1}    2.10{col 48}{space 3}0.040{col 56}{space 4} .2329077{col 69}{space 3} 9.293073
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{txt}{space 14} {c |}
{space 5}state_num {c |}
{space 12}3  {c |}{col 16}{res}{space 2} -1.55337{col 28}{space 2}  3.17592{col 39}{space 1}   -0.49{col 48}{space 3}0.626{col 56}{space 4} -7.88445{col 69}{space 3}  4.77771
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{txt}{space 11}11  {c |}{col 16}{res}{space 2}  25.6619{col 28}{space 2} 9.984171{col 39}{space 1}    2.57{col 48}{space 3}0.012{col 56}{space 4}  5.75882{col 69}{space 3} 45.56498
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{txt}{space 11}14  {c |}{col 16}{res}{space 2} 3.448661{col 28}{space 2} 1.613361{col 39}{space 1}    2.14{col 48}{space 3}0.036{col 56}{space 4} .2324855{col 69}{space 3} 6.664837
{txt}{space 11}15  {c |}{col 16}{res}{space 2} 8.191765{col 28}{space 2} 1.252382{col 39}{space 1}    6.54{col 48}{space 3}0.000{col 56}{space 4} 5.695187{col 69}{space 3} 10.68834
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{txt}{space 11}20  {c |}{col 16}{res}{space 2} 1.292297{col 28}{space 2} 2.117535{col 39}{space 1}    0.61{col 48}{space 3}0.544{col 56}{space 4}-2.928932{col 69}{space 3} 5.513527
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{txt}{space 11}35  {c |}{col 16}{res}{space 2}-11.45875{col 28}{space 2} 2.278101{col 39}{space 1}   -5.03{col 48}{space 3}0.000{col 56}{space 4}-16.00006{col 69}{space 3}-6.917442
{txt}{space 11}39  {c |}{col 16}{res}{space 2}-2.909157{col 28}{space 2} 6.545003{col 39}{space 1}   -0.44{col 48}{space 3}0.658{col 56}{space 4}-15.95638{col 69}{space 3} 10.13807
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{txt}{space 11}48  {c |}{col 16}{res}{space 2} 4.185522{col 28}{space 2} 2.296372{col 39}{space 1}    1.82{col 48}{space 3}0.073{col 56}{space 4} -.392211{col 69}{space 3} 8.763256
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{txt}{space 11}65  {c |}{col 16}{res}{space 2}-13.13701{col 28}{space 2}  1.14724{col 39}{space 1}  -11.45{col 48}{space 3}0.000{col 56}{space 4}-15.42399{col 69}{space 3}-10.85002
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{txt}{space 11}70  {c |}{col 16}{res}{space 2} 6.591885{col 28}{space 2} 3.991976{col 39}{space 1}    1.65{col 48}{space 3}0.103{col 56}{space 4}-1.365973{col 69}{space 3} 14.54974
{txt}{space 11}71  {c |}{col 16}{res}{space 2}-4.425555{col 28}{space 2} 2.528593{col 39}{space 1}   -1.75{col 48}{space 3}0.084{col 56}{space 4}-9.466212{col 69}{space 3} .6151019
{txt}{space 14} {c |}
{space 4}agetrimmed {c |}{col 16}{res}{space 2}-.0737743{col 28}{space 2}  .038124{col 39}{space 1}   -1.94{col 48}{space 3}0.057{col 56}{space 4} -.149773{col 69}{space 3} .0022245
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{txt}{space 3}manufoutput {c |}{col 16}{res}{space 2} .0153913{col 28}{space 2} .0059647{col 39}{space 1}    2.58{col 48}{space 3}0.012{col 56}{space 4} .0035009{col 69}{space 3} .0272817
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{txt}proportionfarm {c |}{col 16}{res}{space 2} .3609732{col 28}{space 2}  1.52953{col 39}{space 1}    0.24{col 48}{space 3}0.814{col 56}{space 4}-2.688089{col 69}{space 3} 3.410036
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{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. eststo m3: reg weighttrimmed badstate_post i.year i.state_num if ua_rd_sample_mean==1 & distancemean7987<300 , cluster(distancemean_7987_20)

{txt}Linear regression                               Number of obs     = {res}     6,111
                                                {txt}{help j_robustsingular:F(25, 26) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0195
                                                {txt}Root MSE          =    {res} 19.611

{txt}{ralign 79:(Std. Err. adjusted for {res:27} clusters in distancemean_7987_20)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}weighttrimmed{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post {c |}{col 15}{res}{space 2} 2.896425{col 27}{space 2} 1.090062{col 38}{space 1}    2.66{col 47}{space 3}0.013{col 55}{space 4} .6557704{col 68}{space 3} 5.137079
{txt}{space 13} {c |}
{space 9}year {c |}
{space 8}1880  {c |}{col 15}{res}{space 2} .3671651{col 27}{space 2} 2.763186{col 38}{space 1}    0.13{col 47}{space 3}0.895{col 55}{space 4}-5.312645{col 68}{space 3} 6.046975
{txt}{space 8}1881  {c |}{col 15}{res}{space 2}-.2797219{col 27}{space 2} 2.226028{col 38}{space 1}   -0.13{col 47}{space 3}0.901{col 55}{space 4}-4.855389{col 68}{space 3} 4.295945
{txt}{space 8}1882  {c |}{col 15}{res}{space 2} -.186304{col 27}{space 2} 2.608693{col 38}{space 1}   -0.07{col 47}{space 3}0.944{col 55}{space 4}-5.548549{col 68}{space 3} 5.175941
{txt}{space 8}1883  {c |}{col 15}{res}{space 2} .5077642{col 27}{space 2}   2.2662{col 38}{space 1}    0.22{col 47}{space 3}0.824{col 55}{space 4}-4.150477{col 68}{space 3} 5.166006
{txt}{space 8}1884  {c |}{col 15}{res}{space 2}-.9403632{col 27}{space 2} 2.498145{col 38}{space 1}   -0.38{col 47}{space 3}0.710{col 55}{space 4}-6.075374{col 68}{space 3} 4.194648
{txt}{space 8}1885  {c |}{col 15}{res}{space 2}-1.798274{col 27}{space 2} 2.242761{col 38}{space 1}   -0.80{col 47}{space 3}0.430{col 55}{space 4}-6.408334{col 68}{space 3} 2.811787
{txt}{space 8}1886  {c |}{col 15}{res}{space 2} .5307171{col 27}{space 2} 2.407554{col 38}{space 1}    0.22{col 47}{space 3}0.827{col 55}{space 4}-4.418082{col 68}{space 3} 5.479516
{txt}{space 8}1887  {c |}{col 15}{res}{space 2} .9262795{col 27}{space 2} 2.150368{col 38}{space 1}    0.43{col 47}{space 3}0.670{col 55}{space 4}-3.493865{col 68}{space 3} 5.346424
{txt}{space 13} {c |}
{space 4}state_num {c |}
{space 11}3  {c |}{col 15}{res}{space 2} -3.72533{col 27}{space 2} 5.119744{col 38}{space 1}   -0.73{col 47}{space 3}0.473{col 55}{space 4}-14.24912{col 68}{space 3} 6.798455
{txt}{space 11}9  {c |}{col 15}{res}{space 2} 4.703554{col 27}{space 2} 4.954284{col 38}{space 1}    0.95{col 47}{space 3}0.351{col 55}{space 4}-5.480124{col 68}{space 3} 14.88723
{txt}{space 10}10  {c |}{col 15}{res}{space 2} 5.777202{col 27}{space 2} 6.527669{col 38}{space 1}    0.89{col 47}{space 3}0.384{col 55}{space 4}-7.640613{col 68}{space 3} 19.19502
{txt}{space 10}11  {c |}{col 15}{res}{space 2} 18.07541{col 27}{space 2} 7.931521{col 38}{space 1}    2.28{col 47}{space 3}0.031{col 55}{space 4} 1.771936{col 68}{space 3} 34.37888
{txt}{space 10}12  {c |}{col 15}{res}{space 2}-6.545587{col 27}{space 2} 3.056549{col 38}{space 1}   -2.14{col 47}{space 3}0.042{col 55}{space 4}-12.82841{col 68}{space 3}-.2627599
{txt}{space 10}13  {c |}{col 15}{res}{space 2} 8.635631{col 27}{space 2} 1.010982{col 38}{space 1}    8.54{col 47}{space 3}0.000{col 55}{space 4} 6.557527{col 68}{space 3} 10.71373
{txt}{space 10}18  {c |}{col 15}{res}{space 2} 3.537768{col 27}{space 2} 1.670727{col 38}{space 1}    2.12{col 47}{space 3}0.044{col 55}{space 4} .1035406{col 68}{space 3} 6.971996
{txt}{space 10}20  {c |}{col 15}{res}{space 2} .8610993{col 27}{space 2} 1.299833{col 38}{space 1}    0.66{col 47}{space 3}0.514{col 55}{space 4}-1.810745{col 68}{space 3} 3.532944
{txt}{space 10}21  {c |}{col 15}{res}{space 2} 2.891701{col 27}{space 2} 1.843961{col 38}{space 1}    1.57{col 47}{space 3}0.129{col 55}{space 4}-.8986159{col 68}{space 3} 6.682017
{txt}{space 10}25  {c |}{col 15}{res}{space 2} 2.828701{col 27}{space 2} 1.129322{col 38}{space 1}    2.50{col 47}{space 3}0.019{col 55}{space 4} .5073464{col 68}{space 3} 5.150055
{txt}{space 10}26  {c |}{col 15}{res}{space 2} 1.554071{col 27}{space 2} 1.655604{col 38}{space 1}    0.94{col 47}{space 3}0.357{col 55}{space 4} -1.84907{col 68}{space 3} 4.957213
{txt}{space 10}28  {c |}{col 15}{res}{space 2}-10.53453{col 27}{space 2} 1.597908{col 38}{space 1}   -6.59{col 47}{space 3}0.000{col 55}{space 4}-13.81907{col 68}{space 3} -7.24998
{txt}{space 10}29  {c |}{col 15}{res}{space 2}-9.647758{col 27}{space 2} 5.721397{col 38}{space 1}   -1.69{col 47}{space 3}0.104{col 55}{space 4}-21.40826{col 68}{space 3} 2.112741
{txt}{space 10}31  {c |}{col 15}{res}{space 2}-2.490079{col 27}{space 2} 1.991147{col 38}{space 1}   -1.25{col 47}{space 3}0.222{col 55}{space 4}-6.582941{col 68}{space 3} 1.602782
{txt}{space 10}32  {c |}{col 15}{res}{space 2} 31.96963{col 27}{space 2} 25.24912{col 38}{space 1}    1.27{col 47}{space 3}0.217{col 55}{space 4}-19.93069{col 68}{space 3} 83.86994
{txt}{space 10}33  {c |}{col 15}{res}{space 2} 1.189177{col 27}{space 2} 2.834125{col 38}{space 1}    0.42{col 47}{space 3}0.678{col 55}{space 4} -4.63645{col 68}{space 3} 7.014804
{txt}{space 10}39  {c |}{col 15}{res}{space 2} 15.96462{col 27}{space 2} 1.040966{col 38}{space 1}   15.34{col 47}{space 3}0.000{col 55}{space 4} 13.82488{col 68}{space 3} 18.10436
{txt}{space 10}40  {c |}{col 15}{res}{space 2} 3.415313{col 27}{space 2} 3.145384{col 38}{space 1}    1.09{col 47}{space 3}0.288{col 55}{space 4}-3.050116{col 68}{space 3} 9.880741
{txt}{space 10}41  {c |}{col 15}{res}{space 2}-6.998709{col 27}{space 2} 6.482018{col 38}{space 1}   -1.08{col 47}{space 3}0.290{col 55}{space 4}-20.32269{col 68}{space 3} 6.325269
{txt}{space 10}42  {c |}{col 15}{res}{space 2}-.0219454{col 27}{space 2} 2.598029{col 38}{space 1}   -0.01{col 47}{space 3}0.993{col 55}{space 4} -5.36227{col 68}{space 3} 5.318379
{txt}{space 10}48  {c |}{col 15}{res}{space 2} 1.641681{col 27}{space 2} 1.770954{col 38}{space 1}    0.93{col 47}{space 3}0.362{col 55}{space 4}-1.998567{col 68}{space 3} 5.281929
{txt}{space 10}49  {c |}{col 15}{res}{space 2} 3.159676{col 27}{space 2}  1.12752{col 38}{space 1}    2.80{col 47}{space 3}0.009{col 55}{space 4} .8420248{col 68}{space 3} 5.477327
{txt}{space 10}50  {c |}{col 15}{res}{space 2}  8.79636{col 27}{space 2} 11.22517{col 38}{space 1}    0.78{col 47}{space 3}0.440{col 55}{space 4}-14.27731{col 68}{space 3} 31.87003
{txt}{space 10}53  {c |}{col 15}{res}{space 2} .9621189{col 27}{space 2}  1.30254{col 38}{space 1}    0.74{col 47}{space 3}0.467{col 55}{space 4}-1.715291{col 68}{space 3} 3.639529
{txt}{space 10}60  {c |}{col 15}{res}{space 2} 17.95943{col 27}{space 2} 2.080682{col 38}{space 1}    8.63{col 47}{space 3}0.000{col 55}{space 4} 13.68253{col 68}{space 3} 22.23633
{txt}{space 10}62  {c |}{col 15}{res}{space 2} 3.722151{col 27}{space 2} 4.540475{col 38}{space 1}    0.82{col 47}{space 3}0.420{col 55}{space 4}-5.610929{col 68}{space 3} 13.05523
{txt}{space 10}65  {c |}{col 15}{res}{space 2}-22.09031{col 27}{space 2} .4478768{col 38}{space 1}  -49.32{col 47}{space 3}0.000{col 55}{space 4}-23.01094{col 68}{space 3}-21.16969
{txt}{space 10}67  {c |}{col 15}{res}{space 2} 14.35267{col 27}{space 2} .8179813{col 38}{space 1}   17.55{col 47}{space 3}0.000{col 55}{space 4} 12.67128{col 68}{space 3} 16.03405
{txt}{space 10}69  {c |}{col 15}{res}{space 2}-.6947803{col 27}{space 2}  2.11769{col 38}{space 1}   -0.33{col 47}{space 3}0.745{col 55}{space 4}-5.047754{col 68}{space 3} 3.658193
{txt}{space 10}70  {c |}{col 15}{res}{space 2} 5.517457{col 27}{space 2} 3.648642{col 38}{space 1}    1.51{col 47}{space 3}0.143{col 55}{space 4}-1.982435{col 68}{space 3} 13.01735
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} 145.8337{col 27}{space 2} 2.438476{col 38}{space 1}   59.81{col 47}{space 3}0.000{col 55}{space 4} 140.8213{col 68}{space 3}  150.846
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m4: reg weighttrimmed badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if ua_rd_sample_mean==1 & distancemean7987<300, cluster(distancemean_7987_20)

{txt}Linear regression                               Number of obs     = {res}     5,902
                                                {txt}{help j_robustsingular:F(25, 26) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1832
                                                {txt}Root MSE          =    {res}  17.95

{txt}{ralign 80:(Std. Err. adjusted for {res:27} clusters in distancemean_7987_20)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1} weighttrimmed{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}badstate_post {c |}{col 16}{res}{space 2} 2.726526{col 28}{space 2} .8817152{col 39}{space 1}    3.09{col 48}{space 3}0.005{col 56}{space 4} .9141347{col 69}{space 3} 4.538918
{txt}{space 14} {c |}
{space 10}year {c |}
{space 9}1880  {c |}{col 16}{res}{space 2}   2.5959{col 28}{space 2} 2.267687{col 39}{space 1}    1.14{col 48}{space 3}0.263{col 56}{space 4}-2.065398{col 69}{space 3} 7.257198
{txt}{space 9}1881  {c |}{col 16}{res}{space 2} 1.833358{col 28}{space 2} 1.905458{col 39}{space 1}    0.96{col 48}{space 3}0.345{col 56}{space 4}-2.083368{col 69}{space 3} 5.750084
{txt}{space 9}1882  {c |}{col 16}{res}{space 2} 2.705467{col 28}{space 2} 2.063912{col 39}{space 1}    1.31{col 48}{space 3}0.201{col 56}{space 4}-1.536965{col 69}{space 3} 6.947898
{txt}{space 9}1883  {c |}{col 16}{res}{space 2} 2.881631{col 28}{space 2} 2.023107{col 39}{space 1}    1.42{col 48}{space 3}0.166{col 56}{space 4}-1.276926{col 69}{space 3} 7.040188
{txt}{space 9}1884  {c |}{col 16}{res}{space 2} 1.846814{col 28}{space 2} 2.315188{col 39}{space 1}    0.80{col 48}{space 3}0.432{col 56}{space 4}-2.912123{col 69}{space 3} 6.605752
{txt}{space 9}1885  {c |}{col 16}{res}{space 2} 1.174654{col 28}{space 2} 1.973361{col 39}{space 1}    0.60{col 48}{space 3}0.557{col 56}{space 4}-2.881647{col 69}{space 3} 5.230955
{txt}{space 9}1886  {c |}{col 16}{res}{space 2}  3.95102{col 28}{space 2} 2.247236{col 39}{space 1}    1.76{col 48}{space 3}0.090{col 56}{space 4} -.668241{col 69}{space 3}  8.57028
{txt}{space 9}1887  {c |}{col 16}{res}{space 2} 3.630986{col 28}{space 2} 1.947297{col 39}{space 1}    1.86{col 48}{space 3}0.074{col 56}{space 4}-.3717414{col 69}{space 3} 7.633713
{txt}{space 14} {c |}
{space 5}state_num {c |}
{space 12}3  {c |}{col 16}{res}{space 2}-1.886328{col 28}{space 2} 4.104888{col 39}{space 1}   -0.46{col 48}{space 3}0.650{col 56}{space 4}-10.32405{col 69}{space 3} 6.551391
{txt}{space 12}9  {c |}{col 16}{res}{space 2} 3.092116{col 28}{space 2} 5.597334{col 39}{space 1}    0.55{col 48}{space 3}0.585{col 56}{space 4}-8.413368{col 69}{space 3}  14.5976
{txt}{space 11}10  {c |}{col 16}{res}{space 2} 1.154828{col 28}{space 2} 8.157733{col 39}{space 1}    0.14{col 48}{space 3}0.889{col 56}{space 4}-15.61363{col 69}{space 3} 17.92329
{txt}{space 11}11  {c |}{col 16}{res}{space 2} 25.13937{col 28}{space 2} 9.709491{col 39}{space 1}    2.59{col 48}{space 3}0.016{col 56}{space 4} 5.181225{col 69}{space 3} 45.09751
{txt}{space 11}12  {c |}{col 16}{res}{space 2} -9.96504{col 28}{space 2} 4.389149{col 39}{space 1}   -2.27{col 48}{space 3}0.032{col 56}{space 4}-18.98707{col 69}{space 3}-.9430146
{txt}{space 11}13  {c |}{col 16}{res}{space 2} .2402406{col 28}{space 2} 4.172556{col 39}{space 1}    0.06{col 48}{space 3}0.955{col 56}{space 4} -8.33657{col 69}{space 3} 8.817052
{txt}{space 11}18  {c |}{col 16}{res}{space 2} 1.194586{col 28}{space 2} 4.456225{col 39}{space 1}    0.27{col 48}{space 3}0.791{col 56}{space 4}-7.965315{col 69}{space 3} 10.35449
{txt}{space 11}20  {c |}{col 16}{res}{space 2}-1.404461{col 28}{space 2} 4.730646{col 39}{space 1}   -0.30{col 48}{space 3}0.769{col 56}{space 4}-11.12844{col 69}{space 3}  8.31952
{txt}{space 11}21  {c |}{col 16}{res}{space 2}-.6634704{col 28}{space 2} 5.390403{col 39}{space 1}   -0.12{col 48}{space 3}0.903{col 56}{space 4} -11.7436{col 69}{space 3} 10.41666
{txt}{space 11}25  {c |}{col 16}{res}{space 2} 1.063346{col 28}{space 2} 4.407911{col 39}{space 1}    0.24{col 48}{space 3}0.811{col 56}{space 4}-7.997245{col 69}{space 3} 10.12394
{txt}{space 11}26  {c |}{col 16}{res}{space 2} 1.922337{col 28}{space 2} 4.035854{col 39}{space 1}    0.48{col 48}{space 3}0.638{col 56}{space 4}-6.373479{col 69}{space 3} 10.21815
{txt}{space 11}28  {c |}{col 16}{res}{space 2}-9.989478{col 28}{space 2} 5.799854{col 39}{space 1}   -1.72{col 48}{space 3}0.097{col 56}{space 4}-21.91125{col 69}{space 3} 1.932293
{txt}{space 11}29  {c |}{col 16}{res}{space 2}-2.924708{col 28}{space 2}  4.55075{col 39}{space 1}   -0.64{col 48}{space 3}0.526{col 56}{space 4}-12.27891{col 69}{space 3} 6.429493
{txt}{space 11}31  {c |}{col 16}{res}{space 2}-2.290133{col 28}{space 2} 5.091269{col 39}{space 1}   -0.45{col 48}{space 3}0.657{col 56}{space 4}-12.75539{col 69}{space 3} 8.175121
{txt}{space 11}32  {c |}{col 16}{res}{space 2} 29.66977{col 28}{space 2} 22.06839{col 39}{space 1}    1.34{col 48}{space 3}0.190{col 56}{space 4}-15.69245{col 69}{space 3} 75.03199
{txt}{space 11}33  {c |}{col 16}{res}{space 2}-2.325184{col 28}{space 2} 4.335961{col 39}{space 1}   -0.54{col 48}{space 3}0.596{col 56}{space 4}-11.23788{col 69}{space 3} 6.587512
{txt}{space 11}40  {c |}{col 16}{res}{space 2} 2.423551{col 28}{space 2} 4.311521{col 39}{space 1}    0.56{col 48}{space 3}0.579{col 56}{space 4}-6.438907{col 69}{space 3} 11.28601
{txt}{space 11}41  {c |}{col 16}{res}{space 2}-8.704874{col 28}{space 2} 7.120879{col 39}{space 1}   -1.22{col 48}{space 3}0.233{col 56}{space 4}-23.34205{col 69}{space 3} 5.932302
{txt}{space 11}42  {c |}{col 16}{res}{space 2}-.8880608{col 28}{space 2} 4.174949{col 39}{space 1}   -0.21{col 48}{space 3}0.833{col 56}{space 4}-9.469791{col 69}{space 3}  7.69367
{txt}{space 11}48  {c |}{col 16}{res}{space 2} .6091995{col 28}{space 2} 5.074117{col 39}{space 1}    0.12{col 48}{space 3}0.905{col 56}{space 4}-9.820798{col 69}{space 3}  11.0392
{txt}{space 11}49  {c |}{col 16}{res}{space 2} 1.716146{col 28}{space 2}  4.67599{col 39}{space 1}    0.37{col 48}{space 3}0.717{col 56}{space 4}-7.895488{col 69}{space 3} 11.32778
{txt}{space 11}53  {c |}{col 16}{res}{space 2}-1.035874{col 28}{space 2} 4.732301{col 39}{space 1}   -0.22{col 48}{space 3}0.828{col 56}{space 4}-10.76326{col 69}{space 3}  8.69151
{txt}{space 11}60  {c |}{col 16}{res}{space 2} 15.21404{col 28}{space 2} 4.570225{col 39}{space 1}    3.33{col 48}{space 3}0.003{col 56}{space 4} 5.819806{col 69}{space 3} 24.60827
{txt}{space 11}62  {c |}{col 16}{res}{space 2} 11.36197{col 28}{space 2}  5.51336{col 39}{space 1}    2.06{col 48}{space 3}0.049{col 56}{space 4} .0291004{col 69}{space 3} 22.69485
{txt}{space 11}65  {c |}{col 16}{res}{space 2}-12.22662{col 28}{space 2} 2.176066{col 39}{space 1}   -5.62{col 48}{space 3}0.000{col 56}{space 4}-16.69958{col 69}{space 3}-7.753649
{txt}{space 11}67  {c |}{col 16}{res}{space 2} 10.12236{col 28}{space 2} 5.064006{col 39}{space 1}    2.00{col 48}{space 3}0.056{col 56}{space 4}-.2868511{col 69}{space 3} 20.53158
{txt}{space 11}69  {c |}{col 16}{res}{space 2}-.6391641{col 28}{space 2} 4.904609{col 39}{space 1}   -0.13{col 48}{space 3}0.897{col 56}{space 4}-10.72073{col 69}{space 3} 9.442404
{txt}{space 11}70  {c |}{col 16}{res}{space 2} 3.852374{col 28}{space 2} 5.904177{col 39}{space 1}    0.65{col 48}{space 3}0.520{col 56}{space 4}-8.283836{col 69}{space 3} 15.98858
{txt}{space 14} {c |}
{space 4}agetrimmed {c |}{col 16}{res}{space 2}-.0638176{col 28}{space 2} .0404224{col 39}{space 1}   -1.58{col 48}{space 3}0.126{col 56}{space 4}-.1469069{col 69}{space 3} .0192718
{txt}{space 1}heighttrimmed {c |}{col 16}{res}{space 2} 2.878011{col 28}{space 2} .1691987{col 39}{space 1}   17.01{col 48}{space 3}0.000{col 56}{space 4} 2.530218{col 69}{space 3} 3.225804
{txt}{space 2}percentblack {c |}{col 16}{res}{space 2}-12.75857{col 28}{space 2} 10.34944{col 39}{space 1}   -1.23{col 48}{space 3}0.229{col 56}{space 4}-34.03215{col 69}{space 3} 8.515016
{txt}{space 3}manufoutput {c |}{col 16}{res}{space 2}  .015594{col 28}{space 2} .0071691{col 39}{space 1}    2.18{col 48}{space 3}0.039{col 56}{space 4} .0008576{col 69}{space 3} .0303304
{txt}{space 9}urban {c |}{col 16}{res}{space 2}-.7336135{col 28}{space 2} 1.681194{col 39}{space 1}   -0.44{col 48}{space 3}0.666{col 56}{space 4}-4.189357{col 69}{space 3}  2.72213
{txt}proportionfarm {c |}{col 16}{res}{space 2}  1.63419{col 28}{space 2} 1.958135{col 39}{space 1}    0.83{col 48}{space 3}0.412{col 56}{space 4}-2.390814{col 69}{space 3} 5.659195
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-50.58714{col 28}{space 2} 12.53786{col 39}{space 1}   -4.03{col 48}{space 3}0.000{col 56}{space 4}-76.35908{col 69}{space 3} -24.8152
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. eststo m5: reg weighttrimmed badstate_post i.year i.state_num if ua_rd_sample_mean==1 & distancemean7987<200 , cluster(distancemean_7987_20)

{txt}Linear regression                               Number of obs     = {res}     4,832
                                                {txt}{help j_robustsingular:F(17, 18) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0202
                                                {txt}Root MSE          =    {res} 19.806

{txt}{ralign 79:(Std. Err. adjusted for {res:19} clusters in distancemean_7987_20)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}weighttrimmed{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post {c |}{col 15}{res}{space 2} 2.998359{col 27}{space 2} 1.140871{col 38}{space 1}    2.63{col 47}{space 3}0.017{col 55}{space 4} .6014776{col 68}{space 3} 5.395239
{txt}{space 13} {c |}
{space 9}year {c |}
{space 8}1880  {c |}{col 15}{res}{space 2}-1.686199{col 27}{space 2}   3.0172{col 38}{space 1}   -0.56{col 47}{space 3}0.583{col 55}{space 4}-8.025101{col 68}{space 3} 4.652703
{txt}{space 8}1881  {c |}{col 15}{res}{space 2}-1.888853{col 27}{space 2} 2.372835{col 38}{space 1}   -0.80{col 47}{space 3}0.436{col 55}{space 4}-6.873993{col 68}{space 3} 3.096287
{txt}{space 8}1882  {c |}{col 15}{res}{space 2}-2.035515{col 27}{space 2} 2.776574{col 38}{space 1}   -0.73{col 47}{space 3}0.473{col 55}{space 4} -7.86888{col 68}{space 3}  3.79785
{txt}{space 8}1883  {c |}{col 15}{res}{space 2}-1.297828{col 27}{space 2} 2.406007{col 38}{space 1}   -0.54{col 47}{space 3}0.596{col 55}{space 4}-6.352661{col 68}{space 3} 3.757005
{txt}{space 8}1884  {c |}{col 15}{res}{space 2}-2.637488{col 27}{space 2}   2.6449{col 38}{space 1}   -1.00{col 47}{space 3}0.332{col 55}{space 4}-8.194218{col 68}{space 3} 2.919241
{txt}{space 8}1885  {c |}{col 15}{res}{space 2}-3.275374{col 27}{space 2} 2.401083{col 38}{space 1}   -1.36{col 47}{space 3}0.189{col 55}{space 4}-8.319863{col 68}{space 3} 1.769114
{txt}{space 8}1886  {c |}{col 15}{res}{space 2}-1.908392{col 27}{space 2} 2.269488{col 38}{space 1}   -0.84{col 47}{space 3}0.411{col 55}{space 4}-6.676408{col 68}{space 3} 2.859625
{txt}{space 8}1887  {c |}{col 15}{res}{space 2}-.7373139{col 27}{space 2} 2.239984{col 38}{space 1}   -0.33{col 47}{space 3}0.746{col 55}{space 4}-5.443347{col 68}{space 3} 3.968719
{txt}{space 13} {c |}
{space 4}state_num {c |}
{space 11}9  {c |}{col 15}{res}{space 2} 6.909411{col 27}{space 2} 9.638077{col 38}{space 1}    0.72{col 47}{space 3}0.483{col 55}{space 4}-13.33944{col 68}{space 3} 27.15826
{txt}{space 10}10  {c |}{col 15}{res}{space 2} 26.08237{col 27}{space 2} 8.320401{col 38}{space 1}    3.13{col 47}{space 3}0.006{col 55}{space 4} 8.601854{col 68}{space 3} 43.56288
{txt}{space 10}11  {c |}{col 15}{res}{space 2} 18.76329{col 27}{space 2} 11.41234{col 38}{space 1}    1.64{col 47}{space 3}0.118{col 55}{space 4}-5.213155{col 68}{space 3} 42.73973
{txt}{space 10}12  {c |}{col 15}{res}{space 2}-6.826304{col 27}{space 2} 8.872435{col 38}{space 1}   -0.77{col 47}{space 3}0.452{col 55}{space 4} -25.4666{col 68}{space 3} 11.81399
{txt}{space 10}18  {c |}{col 15}{res}{space 2} 3.603482{col 27}{space 2}  8.47874{col 38}{space 1}    0.43{col 47}{space 3}0.676{col 55}{space 4}-14.20969{col 68}{space 3} 21.41666
{txt}{space 10}20  {c |}{col 15}{res}{space 2} .2203404{col 27}{space 2} 8.365836{col 38}{space 1}    0.03{col 47}{space 3}0.979{col 55}{space 4}-17.35563{col 68}{space 3} 17.79631
{txt}{space 10}21  {c |}{col 15}{res}{space 2} 2.566394{col 27}{space 2} 8.502907{col 38}{space 1}    0.30{col 47}{space 3}0.766{col 55}{space 4}-15.29755{col 68}{space 3} 20.43034
{txt}{space 10}25  {c |}{col 15}{res}{space 2} 2.331465{col 27}{space 2} 8.358279{col 38}{space 1}    0.28{col 47}{space 3}0.783{col 55}{space 4}-15.22863{col 68}{space 3} 19.89156
{txt}{space 10}26  {c |}{col 15}{res}{space 2} 1.181832{col 27}{space 2} 8.812178{col 38}{space 1}    0.13{col 47}{space 3}0.895{col 55}{space 4}-17.33187{col 68}{space 3} 19.69553
{txt}{space 10}29  {c |}{col 15}{res}{space 2}-10.18705{col 27}{space 2} 10.04499{col 38}{space 1}   -1.01{col 47}{space 3}0.324{col 55}{space 4}-31.29078{col 68}{space 3} 10.91669
{txt}{space 10}31  {c |}{col 15}{res}{space 2}-6.022863{col 27}{space 2} 19.84606{col 38}{space 1}   -0.30{col 47}{space 3}0.765{col 55}{space 4}-47.71788{col 68}{space 3} 35.67216
{txt}{space 10}33  {c |}{col 15}{res}{space 2} .7729118{col 27}{space 2} 8.708407{col 38}{space 1}    0.09{col 47}{space 3}0.930{col 55}{space 4}-17.52277{col 68}{space 3}  19.0686
{txt}{space 10}40  {c |}{col 15}{res}{space 2}  2.07515{col 27}{space 2} 8.995069{col 38}{space 1}    0.23{col 47}{space 3}0.820{col 55}{space 4}-16.82279{col 68}{space 3} 20.97309
{txt}{space 10}41  {c |}{col 15}{res}{space 2}-20.30862{col 27}{space 2} 8.531955{col 38}{space 1}   -2.38{col 47}{space 3}0.029{col 55}{space 4}-38.23359{col 68}{space 3}-2.383646
{txt}{space 10}42  {c |}{col 15}{res}{space 2}-.2788856{col 27}{space 2} 8.715917{col 38}{space 1}   -0.03{col 47}{space 3}0.975{col 55}{space 4}-18.59035{col 68}{space 3} 18.03258
{txt}{space 10}48  {c |}{col 15}{res}{space 2} 3.225022{col 27}{space 2} 8.408114{col 38}{space 1}    0.38{col 47}{space 3}0.706{col 55}{space 4}-14.43977{col 68}{space 3} 20.88981
{txt}{space 10}49  {c |}{col 15}{res}{space 2} 3.042516{col 27}{space 2} 8.348762{col 38}{space 1}    0.36{col 47}{space 3}0.720{col 55}{space 4}-14.49758{col 68}{space 3} 20.58261
{txt}{space 10}50  {c |}{col 15}{res}{space 2}-7.257503{col 27}{space 2} 8.344705{col 38}{space 1}   -0.87{col 47}{space 3}0.396{col 55}{space 4}-24.78908{col 68}{space 3} 10.27407
{txt}{space 10}53  {c |}{col 15}{res}{space 2} .4925735{col 27}{space 2} 8.376999{col 38}{space 1}    0.06{col 47}{space 3}0.954{col 55}{space 4}-17.10685{col 68}{space 3} 18.09199
{txt}{space 10}62  {c |}{col 15}{res}{space 2}-2.594355{col 27}{space 2} 10.95685{col 38}{space 1}   -0.24{col 47}{space 3}0.816{col 55}{space 4}-25.61383{col 68}{space 3} 20.42512
{txt}{space 10}65  {c |}{col 15}{res}{space 2}-22.66856{col 27}{space 2} 8.274494{col 38}{space 1}   -2.74{col 47}{space 3}0.013{col 55}{space 4}-40.05263{col 68}{space 3}-5.284493
{txt}{space 10}69  {c |}{col 15}{res}{space 2} 5.076423{col 27}{space 2} 9.553944{col 38}{space 1}    0.53{col 47}{space 3}0.602{col 55}{space 4}-14.99567{col 68}{space 3} 25.14851
{txt}{space 10}70  {c |}{col 15}{res}{space 2}  5.15592{col 27}{space 2} 9.027856{col 38}{space 1}    0.57{col 47}{space 3}0.575{col 55}{space 4} -13.8109{col 68}{space 3} 24.12274
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} 147.9948{col 27}{space 2} 8.656675{col 38}{space 1}   17.10{col 47}{space 3}0.000{col 55}{space 4} 129.8078{col 68}{space 3} 166.1818
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m6: reg weighttrimmed badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if ua_rd_sample_mean==1 & distancemean7987<200, cluster(distancemean_7987_20)

{txt}Linear regression                               Number of obs     = {res}     4,663
                                                {txt}{help j_robustsingular:F(17, 18) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1781
                                                {txt}Root MSE          =    {res} 18.203

{txt}{ralign 80:(Std. Err. adjusted for {res:19} clusters in distancemean_7987_20)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1} weighttrimmed{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}badstate_post {c |}{col 16}{res}{space 2} 3.044839{col 28}{space 2} .9240074{col 39}{space 1}    3.30{col 48}{space 3}0.004{col 56}{space 4} 1.103572{col 69}{space 3} 4.986107
{txt}{space 14} {c |}
{space 10}year {c |}
{space 9}1880  {c |}{col 16}{res}{space 2} 1.034363{col 28}{space 2} 2.595617{col 39}{space 1}    0.40{col 48}{space 3}0.695{col 56}{space 4}-4.418826{col 69}{space 3} 6.487552
{txt}{space 9}1881  {c |}{col 16}{res}{space 2}   .59983{col 28}{space 2}  2.12969{col 39}{space 1}    0.28{col 48}{space 3}0.781{col 56}{space 4}-3.874483{col 69}{space 3} 5.074143
{txt}{space 9}1882  {c |}{col 16}{res}{space 2} 1.231584{col 28}{space 2} 2.156971{col 39}{space 1}    0.57{col 48}{space 3}0.575{col 56}{space 4}-3.300044{col 69}{space 3} 5.763211
{txt}{space 9}1883  {c |}{col 16}{res}{space 2} 1.465519{col 28}{space 2} 2.183417{col 39}{space 1}    0.67{col 48}{space 3}0.511{col 56}{space 4}-3.121671{col 69}{space 3} 6.052708
{txt}{space 9}1884  {c |}{col 16}{res}{space 2} .4466303{col 28}{space 2} 2.560274{col 39}{space 1}    0.17{col 48}{space 3}0.863{col 56}{space 4}-4.932307{col 69}{space 3} 5.825567
{txt}{space 9}1885  {c |}{col 16}{res}{space 2}-.3301046{col 28}{space 2} 2.103053{col 39}{space 1}   -0.16{col 48}{space 3}0.877{col 56}{space 4}-4.748455{col 69}{space 3} 4.088245
{txt}{space 9}1886  {c |}{col 16}{res}{space 2} 1.830242{col 28}{space 2} 2.118221{col 39}{space 1}    0.86{col 48}{space 3}0.399{col 56}{space 4}-2.619975{col 69}{space 3}  6.28046
{txt}{space 9}1887  {c |}{col 16}{res}{space 2} 2.239361{col 28}{space 2} 2.083565{col 39}{space 1}    1.07{col 48}{space 3}0.297{col 56}{space 4}-2.138048{col 69}{space 3}  6.61677
{txt}{space 14} {c |}
{space 5}state_num {c |}
{space 12}9  {c |}{col 16}{res}{space 2} 7.844333{col 28}{space 2} 9.185469{col 39}{space 1}    0.85{col 48}{space 3}0.404{col 56}{space 4}-11.45362{col 69}{space 3} 27.14229
{txt}{space 11}10  {c |}{col 16}{res}{space 2} 21.49033{col 28}{space 2} 4.556176{col 39}{space 1}    4.72{col 48}{space 3}0.000{col 56}{space 4} 11.91816{col 69}{space 3}  31.0625
{txt}{space 11}11  {c |}{col 16}{res}{space 2} 28.38764{col 28}{space 2}  12.8243{col 39}{space 1}    2.21{col 48}{space 3}0.040{col 56}{space 4} 1.444792{col 69}{space 3} 55.33049
{txt}{space 11}12  {c |}{col 16}{res}{space 2}-7.335768{col 28}{space 2} 3.078249{col 39}{space 1}   -2.38{col 48}{space 3}0.028{col 56}{space 4}-13.80293{col 69}{space 3} -.868607
{txt}{space 11}18  {c |}{col 16}{res}{space 2} 3.749754{col 28}{space 2} 3.674548{col 39}{space 1}    1.02{col 48}{space 3}0.321{col 56}{space 4}-3.970185{col 69}{space 3} 11.46969
{txt}{space 11}20  {c |}{col 16}{res}{space 2} .8825253{col 28}{space 2} 3.635683{col 39}{space 1}    0.24{col 48}{space 3}0.811{col 56}{space 4} -6.75576{col 69}{space 3} 8.520811
{txt}{space 11}21  {c |}{col 16}{res}{space 2} 2.057686{col 28}{space 2} 4.170561{col 39}{space 1}    0.49{col 48}{space 3}0.628{col 56}{space 4}-6.704338{col 69}{space 3} 10.81971
{txt}{space 11}25  {c |}{col 16}{res}{space 2} 3.289516{col 28}{space 2} 3.556837{col 39}{space 1}    0.92{col 48}{space 3}0.367{col 56}{space 4}-4.183121{col 69}{space 3} 10.76215
{txt}{space 11}26  {c |}{col 16}{res}{space 2} 4.477605{col 28}{space 2} 4.017514{col 39}{space 1}    1.11{col 48}{space 3}0.280{col 56}{space 4}-3.962879{col 69}{space 3} 12.91809
{txt}{space 11}29  {c |}{col 16}{res}{space 2}-.8193154{col 28}{space 2} 5.443599{col 39}{space 1}   -0.15{col 48}{space 3}0.882{col 56}{space 4}-12.25589{col 69}{space 3} 10.61726
{txt}{space 11}31  {c |}{col 16}{res}{space 2}-6.379247{col 28}{space 2} 20.63594{col 39}{space 1}   -0.31{col 48}{space 3}0.761{col 56}{space 4}-49.73375{col 69}{space 3} 36.97526
{txt}{space 11}33  {c |}{col 16}{res}{space 2} .2444633{col 28}{space 2} 4.314235{col 39}{space 1}    0.06{col 48}{space 3}0.955{col 56}{space 4}-8.819409{col 69}{space 3} 9.308335
{txt}{space 11}40  {c |}{col 16}{res}{space 2}  4.14261{col 28}{space 2} 4.508671{col 39}{space 1}    0.92{col 48}{space 3}0.370{col 56}{space 4}-5.329755{col 69}{space 3} 13.61498
{txt}{space 11}41  {c |}{col 16}{res}{space 2}-15.79307{col 28}{space 2} 4.687313{col 39}{space 1}   -3.37{col 48}{space 3}0.003{col 56}{space 4}-25.64075{col 69}{space 3}-5.945391
{txt}{space 11}42  {c |}{col 16}{res}{space 2}  1.88588{col 28}{space 2}  3.82692{col 39}{space 1}    0.49{col 48}{space 3}0.628{col 56}{space 4} -6.15418{col 69}{space 3}  9.92594
{txt}{space 11}48  {c |}{col 16}{res}{space 2} 4.541759{col 28}{space 2} 4.160834{col 39}{space 1}    1.09{col 48}{space 3}0.289{col 56}{space 4}-4.199829{col 69}{space 3} 13.28335
{txt}{space 11}49  {c |}{col 16}{res}{space 2} 4.629475{col 28}{space 2} 3.663787{col 39}{space 1}    1.26{col 48}{space 3}0.223{col 56}{space 4}-3.067856{col 69}{space 3} 12.32681
{txt}{space 11}53  {c |}{col 16}{res}{space 2} 1.512992{col 28}{space 2} 3.833698{col 39}{space 1}    0.39{col 48}{space 3}0.698{col 56}{space 4}-6.541308{col 69}{space 3} 9.567292
{txt}{space 11}62  {c |}{col 16}{res}{space 2} 5.147626{col 28}{space 2}  4.08198{col 39}{space 1}    1.26{col 48}{space 3}0.223{col 56}{space 4}-3.428295{col 69}{space 3} 13.72355
{txt}{space 11}65  {c |}{col 16}{res}{space 2}-10.18182{col 28}{space 2} 6.553902{col 39}{space 1}   -1.55{col 48}{space 3}0.138{col 56}{space 4}-23.95106{col 69}{space 3} 3.587415
{txt}{space 11}69  {c |}{col 16}{res}{space 2} 6.541123{col 28}{space 2}  5.52825{col 39}{space 1}    1.18{col 48}{space 3}0.252{col 56}{space 4}-5.073298{col 69}{space 3} 18.15554
{txt}{space 11}70  {c |}{col 16}{res}{space 2} 6.440501{col 28}{space 2} 4.748708{col 39}{space 1}    1.36{col 48}{space 3}0.192{col 56}{space 4}-3.536165{col 69}{space 3} 16.41717
{txt}{space 14} {c |}
{space 4}agetrimmed {c |}{col 16}{res}{space 2}-.0488403{col 28}{space 2}  .047653{col 39}{space 1}   -1.02{col 48}{space 3}0.319{col 56}{space 4}-.1489555{col 69}{space 3} .0512749
{txt}{space 1}heighttrimmed {c |}{col 16}{res}{space 2} 2.835858{col 28}{space 2} .2059907{col 39}{space 1}   13.77{col 48}{space 3}0.000{col 56}{space 4} 2.403088{col 69}{space 3} 3.268629
{txt}{space 2}percentblack {c |}{col 16}{res}{space 2}-12.04118{col 28}{space 2} 11.27457{col 39}{space 1}   -1.07{col 48}{space 3}0.300{col 56}{space 4}-35.72817{col 69}{space 3}  11.6458
{txt}{space 3}manufoutput {c |}{col 16}{res}{space 2} .0171022{col 28}{space 2} .0106524{col 39}{space 1}    1.61{col 48}{space 3}0.126{col 56}{space 4}-.0052777{col 69}{space 3}  .039482
{txt}{space 9}urban {c |}{col 16}{res}{space 2} -1.18743{col 28}{space 2} 2.199508{col 39}{space 1}   -0.54{col 48}{space 3}0.596{col 56}{space 4}-5.808426{col 69}{space 3} 3.433566
{txt}proportionfarm {c |}{col 16}{res}{space 2} 1.399554{col 28}{space 2} 2.463382{col 39}{space 1}    0.57{col 48}{space 3}0.577{col 56}{space 4}-3.775821{col 69}{space 3} 6.574928
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-49.45999{col 28}{space 2} 15.92208{col 39}{space 1}   -3.11{col 48}{space 3}0.006{col 56}{space 4}-82.91104{col 69}{space 3}-16.00895
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. estout m1 m2 m3 m4 m5 m6 using Table5.tex, replace style(tex) collabels(none) mlabels("Model 1" "Model 2" "Model 3" "Model 4" "Model 6", span prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) prehead("\begin{c -(}table{c )-}[htbp!]\caption{c -(}@title{c )-}" "\begin{c -(}center{c )-}" "\scriptsize" "\begin{c -(}threeparttable{c )-}"  "\begin{c -(}tabular{c )-}{c -(}l*{c -(}@M{c )-}{c -(}rr{c )-}{c )-}" "\hline")  cells(  b(star fmt(2)) se(par fmt(2)) ) starlevels(* .10 ** .05 *** .01)   s( N )
{res}{txt}(note: file Table5.tex not found)
(output written to {browse  `"Table5.tex"'})

{com}. 
. *Table 6
. 
. eststo m1: areg weighttrimmed badstate_post i.year i.state_num if ua_rd_sample_mean==1, vce(cluster distancemean_7987_20) absorb(recid)
{txt}note: 14.state_num omitted because of collinearity
{txt}note: 15.state_num omitted because of collinearity
{txt}note: 27.state_num omitted because of collinearity
{txt}note: 35.state_num omitted because of collinearity
{txt}note: 59.state_num omitted because of collinearity
{txt}note: 62.state_num omitted because of collinearity
{txt}note: 65.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,833
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}     2,510
{txt}{col 49}{help j_robustsingular##|_new:F(  36,     72)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.9046
{txt}{col 49}Adj R-squared{col 67}= {res}    0.8584
{txt}{col 49}Root MSE{col 67}= {res}    7.4445

{txt}{ralign 79:(Std. Err. adjusted for {res:73} clusters in distancemean_7987_20)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}weighttrimmed{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post {c |}{col 15}{res}{space 2} 2.150445{col 27}{space 2} .5840484{col 38}{space 1}    3.68{col 47}{space 3}0.000{col 55}{space 4} .9861654{col 68}{space 3} 3.314724
{txt}{space 13} {c |}
{space 9}year {c |}
{space 8}1880  {c |}{col 15}{res}{space 2} .9141338{col 27}{space 2} 1.416674{col 38}{space 1}    0.65{col 47}{space 3}0.521{col 55}{space 4}-1.909954{col 68}{space 3} 3.738221
{txt}{space 8}1881  {c |}{col 15}{res}{space 2}  .897633{col 27}{space 2} 1.335895{col 38}{space 1}    0.67{col 47}{space 3}0.504{col 55}{space 4}-1.765425{col 68}{space 3} 3.560691
{txt}{space 8}1882  {c |}{col 15}{res}{space 2} 1.336953{col 27}{space 2} 1.429491{col 38}{space 1}    0.94{col 47}{space 3}0.353{col 55}{space 4}-1.512685{col 68}{space 3} 4.186591
{txt}{space 8}1883  {c |}{col 15}{res}{space 2} 1.803183{col 27}{space 2}  1.41877{col 38}{space 1}    1.27{col 47}{space 3}0.208{col 55}{space 4}-1.025083{col 68}{space 3}  4.63145
{txt}{space 8}1884  {c |}{col 15}{res}{space 2} .9792841{col 27}{space 2} 1.390563{col 38}{space 1}    0.70{col 47}{space 3}0.484{col 55}{space 4}-1.792752{col 68}{space 3}  3.75132
{txt}{space 8}1885  {c |}{col 15}{res}{space 2} .4694601{col 27}{space 2} 1.443781{col 38}{space 1}    0.33{col 47}{space 3}0.746{col 55}{space 4}-2.408665{col 68}{space 3} 3.347585
{txt}{space 8}1886  {c |}{col 15}{res}{space 2} 1.504096{col 27}{space 2} 1.564185{col 38}{space 1}    0.96{col 47}{space 3}0.339{col 55}{space 4}-1.614049{col 68}{space 3} 4.622241
{txt}{space 8}1887  {c |}{col 15}{res}{space 2} 1.379369{col 27}{space 2} 1.427165{col 38}{space 1}    0.97{col 47}{space 3}0.337{col 55}{space 4}-1.465633{col 68}{space 3} 4.224371
{txt}{space 13} {c |}
{space 4}state_num {c |}
{space 11}3  {c |}{col 15}{res}{space 2} 2.792974{col 27}{space 2} .7695568{col 38}{space 1}    3.63{col 47}{space 3}0.001{col 55}{space 4}  1.25889{col 68}{space 3} 4.327057
{txt}{space 11}6  {c |}{col 15}{res}{space 2}  7.37587{col 27}{space 2} 9.455339{col 38}{space 1}    0.78{col 47}{space 3}0.438{col 55}{space 4}-11.47301{col 68}{space 3} 26.22474
{txt}{space 11}9  {c |}{col 15}{res}{space 2} 1.932106{col 27}{space 2} 8.525511{col 38}{space 1}    0.23{col 47}{space 3}0.821{col 55}{space 4}-15.06319{col 68}{space 3}  18.9274
{txt}{space 10}10  {c |}{col 15}{res}{space 2} 14.30368{col 27}{space 2} 9.577429{col 38}{space 1}    1.49{col 47}{space 3}0.140{col 55}{space 4}-4.788579{col 68}{space 3} 33.39593
{txt}{space 10}11  {c |}{col 15}{res}{space 2} 11.17171{col 27}{space 2} 8.607818{col 38}{space 1}    1.30{col 47}{space 3}0.198{col 55}{space 4}-5.987662{col 68}{space 3} 28.33108
{txt}{space 10}12  {c |}{col 15}{res}{space 2} 12.58523{col 27}{space 2} 8.973382{col 38}{space 1}    1.40{col 47}{space 3}0.165{col 55}{space 4}-5.302877{col 68}{space 3} 30.47334
{txt}{space 10}13  {c |}{col 15}{res}{space 2} 16.69675{col 27}{space 2} 9.150266{col 38}{space 1}    1.82{col 47}{space 3}0.072{col 55}{space 4} -1.54397{col 68}{space 3} 34.93747
{txt}{space 10}14  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}15  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}18  {c |}{col 15}{res}{space 2} 4.215336{col 27}{space 2} 8.915149{col 38}{space 1}    0.47{col 47}{space 3}0.638{col 55}{space 4}-13.55669{col 68}{space 3} 21.98736
{txt}{space 10}20  {c |}{col 15}{res}{space 2} 6.735178{col 27}{space 2} 8.065655{col 38}{space 1}    0.84{col 47}{space 3}0.406{col 55}{space 4}-9.343412{col 68}{space 3} 22.81377
{txt}{space 10}21  {c |}{col 15}{res}{space 2} 6.797614{col 27}{space 2} 8.212524{col 38}{space 1}    0.83{col 47}{space 3}0.411{col 55}{space 4}-9.573754{col 68}{space 3} 23.16898
{txt}{space 10}25  {c |}{col 15}{res}{space 2} 4.871798{col 27}{space 2} 8.843318{col 38}{space 1}    0.55{col 47}{space 3}0.583{col 55}{space 4}-12.75703{col 68}{space 3} 22.50063
{txt}{space 10}26  {c |}{col 15}{res}{space 2} 21.56087{col 27}{space 2} .3389273{col 38}{space 1}   63.62{col 47}{space 3}0.000{col 55}{space 4} 20.88523{col 68}{space 3} 22.23651
{txt}{space 10}27  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}28  {c |}{col 15}{res}{space 2}  8.26777{col 27}{space 2} 9.546601{col 38}{space 1}    0.87{col 47}{space 3}0.389{col 55}{space 4}-10.76303{col 68}{space 3} 27.29857
{txt}{space 10}29  {c |}{col 15}{res}{space 2} 11.03577{col 27}{space 2} 8.682137{col 38}{space 1}    1.27{col 47}{space 3}0.208{col 55}{space 4}-6.271754{col 68}{space 3} 28.34329
{txt}{space 10}30  {c |}{col 15}{res}{space 2}  12.7822{col 27}{space 2} 9.205162{col 38}{space 1}    1.39{col 47}{space 3}0.169{col 55}{space 4}-5.567959{col 68}{space 3} 31.13235
{txt}{space 10}31  {c |}{col 15}{res}{space 2} 6.652315{col 27}{space 2} 8.476801{col 38}{space 1}    0.78{col 47}{space 3}0.435{col 55}{space 4}-10.24588{col 68}{space 3} 23.55051
{txt}{space 10}32  {c |}{col 15}{res}{space 2} 4.674766{col 27}{space 2} 9.647575{col 38}{space 1}    0.48{col 47}{space 3}0.629{col 55}{space 4}-14.55732{col 68}{space 3} 23.90686
{txt}{space 10}33  {c |}{col 15}{res}{space 2} 3.851357{col 27}{space 2} .7134195{col 38}{space 1}    5.40{col 47}{space 3}0.000{col 55}{space 4} 2.429182{col 68}{space 3} 5.273533
{txt}{space 10}35  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}39  {c |}{col 15}{res}{space 2} 3.430437{col 27}{space 2} 9.098315{col 38}{space 1}    0.38{col 47}{space 3}0.707{col 55}{space 4}-14.70672{col 68}{space 3}  21.5676
{txt}{space 10}40  {c |}{col 15}{res}{space 2} 3.193023{col 27}{space 2} 8.635159{col 38}{space 1}    0.37{col 47}{space 3}0.713{col 55}{space 4}-14.02085{col 68}{space 3}  20.4069
{txt}{space 10}41  {c |}{col 15}{res}{space 2} 6.692494{col 27}{space 2} 8.465726{col 38}{space 1}    0.79{col 47}{space 3}0.432{col 55}{space 4}-10.18362{col 68}{space 3} 23.56861
{txt}{space 10}42  {c |}{col 15}{res}{space 2} 2.897774{col 27}{space 2}  8.21274{col 38}{space 1}    0.35{col 47}{space 3}0.725{col 55}{space 4}-13.47402{col 68}{space 3} 19.26957
{txt}{space 10}46  {c |}{col 15}{res}{space 2} 5.294219{col 27}{space 2} 9.677111{col 38}{space 1}    0.55{col 47}{space 3}0.586{col 55}{space 4}-13.99675{col 68}{space 3} 24.58519
{txt}{space 10}48  {c |}{col 15}{res}{space 2} 6.806562{col 27}{space 2} 8.860771{col 38}{space 1}    0.77{col 47}{space 3}0.445{col 55}{space 4}-10.85706{col 68}{space 3} 24.47019
{txt}{space 10}49  {c |}{col 15}{res}{space 2} 7.708982{col 27}{space 2} 8.593389{col 38}{space 1}    0.90{col 47}{space 3}0.373{col 55}{space 4}-9.421627{col 68}{space 3} 24.83959
{txt}{space 10}50  {c |}{col 15}{res}{space 2}-4.035693{col 27}{space 2} 8.561202{col 38}{space 1}   -0.47{col 47}{space 3}0.639{col 55}{space 4}-21.10214{col 68}{space 3} 13.03075
{txt}{space 10}52  {c |}{col 15}{res}{space 2} 5.556486{col 27}{space 2} 8.673471{col 38}{space 1}    0.64{col 47}{space 3}0.524{col 55}{space 4}-11.73376{col 68}{space 3} 22.84673
{txt}{space 10}53  {c |}{col 15}{res}{space 2} 7.535125{col 27}{space 2} 8.046937{col 38}{space 1}    0.94{col 47}{space 3}0.352{col 55}{space 4}-8.506151{col 68}{space 3}  23.5764
{txt}{space 10}56  {c |}{col 15}{res}{space 2} 7.664775{col 27}{space 2} 10.32029{col 38}{space 1}    0.74{col 47}{space 3}0.460{col 55}{space 4}-12.90835{col 68}{space 3}  28.2379
{txt}{space 10}59  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}60  {c |}{col 15}{res}{space 2} 5.941603{col 27}{space 2} 9.152029{col 38}{space 1}    0.65{col 47}{space 3}0.518{col 55}{space 4}-12.30263{col 68}{space 3} 24.18584
{txt}{space 10}62  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}63  {c |}{col 15}{res}{space 2}-1.310444{col 27}{space 2} .5502459{col 38}{space 1}   -2.38{col 47}{space 3}0.020{col 55}{space 4}-2.407339{col 68}{space 3}-.2135489
{txt}{space 10}65  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}67  {c |}{col 15}{res}{space 2} .9052817{col 27}{space 2} 8.723085{col 38}{space 1}    0.10{col 47}{space 3}0.918{col 55}{space 4}-16.48387{col 68}{space 3} 18.29443
{txt}{space 10}68  {c |}{col 15}{res}{space 2} 6.617045{col 27}{space 2} 9.665899{col 38}{space 1}    0.68{col 47}{space 3}0.496{col 55}{space 4}-12.65157{col 68}{space 3} 25.88566
{txt}{space 10}69  {c |}{col 15}{res}{space 2} 8.463804{col 27}{space 2} 9.103199{col 38}{space 1}    0.93{col 47}{space 3}0.356{col 55}{space 4}-9.683091{col 68}{space 3}  26.6107
{txt}{space 10}70  {c |}{col 15}{res}{space 2}  25.5432{col 27}{space 2} .7236113{col 38}{space 1}   35.30{col 47}{space 3}0.000{col 55}{space 4} 24.10071{col 68}{space 3} 26.98569
{txt}{space 10}71  {c |}{col 15}{res}{space 2}-5.562657{col 27}{space 2} 8.833123{col 38}{space 1}   -0.63{col 47}{space 3}0.531{col 55}{space 4}-23.17117{col 68}{space 3} 12.04585
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} 139.8051{col 27}{space 2}  7.37161{col 38}{space 1}   18.97{col 47}{space 3}0.000{col 55}{space 4} 125.1101{col 68}{space 3} 154.5001
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m2: areg weighttrimmed badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if ua_rd_sample_mean==1 , vce(cluster distancemean_7987_20) absorb(recid)
{txt}note: 13.state_num omitted because of collinearity
{txt}note: 14.state_num omitted because of collinearity
{txt}note: 15.state_num omitted because of collinearity
{txt}note: 27.state_num omitted because of collinearity
{txt}note: 29.state_num omitted because of collinearity
{txt}note: 35.state_num omitted because of collinearity
{txt}note: 59.state_num omitted because of collinearity
{txt}note: 62.state_num omitted because of collinearity
{txt}note: 65.state_num omitted because of collinearity
{txt}note: 71.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     7,546
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}     2,510
{txt}{col 49}{help j_robustsingular##|_new:F(  40,     72)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.9057
{txt}{col 49}Adj R-squared{col 67}= {res}    0.8574
{txt}{col 49}Root MSE{col 67}= {res}    7.4941

{txt}{ralign 80:(Std. Err. adjusted for {res:73} clusters in distancemean_7987_20)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1} weighttrimmed{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}badstate_post {c |}{col 16}{res}{space 2} 2.231702{col 28}{space 2} .5916904{col 39}{space 1}    3.77{col 48}{space 3}0.000{col 56}{space 4} 1.052189{col 69}{space 3} 3.411216
{txt}{space 14} {c |}
{space 10}year {c |}
{space 9}1880  {c |}{col 16}{res}{space 2} .8850058{col 28}{space 2} 1.422425{col 39}{space 1}    0.62{col 48}{space 3}0.536{col 56}{space 4}-1.950547{col 69}{space 3} 3.720559
{txt}{space 9}1881  {c |}{col 16}{res}{space 2} 1.026152{col 28}{space 2} 1.355786{col 39}{space 1}    0.76{col 48}{space 3}0.452{col 56}{space 4}-1.676559{col 69}{space 3} 3.728862
{txt}{space 9}1882  {c |}{col 16}{res}{space 2} 1.538289{col 28}{space 2} 1.421987{col 39}{space 1}    1.08{col 48}{space 3}0.283{col 56}{space 4}-1.296391{col 69}{space 3}  4.37297
{txt}{space 9}1883  {c |}{col 16}{res}{space 2} 1.914656{col 28}{space 2}  1.40807{col 39}{space 1}    1.36{col 48}{space 3}0.178{col 56}{space 4}-.8922799{col 69}{space 3} 4.721593
{txt}{space 9}1884  {c |}{col 16}{res}{space 2}  1.25824{col 28}{space 2} 1.423928{col 39}{space 1}    0.88{col 48}{space 3}0.380{col 56}{space 4}-1.580308{col 69}{space 3} 4.096788
{txt}{space 9}1885  {c |}{col 16}{res}{space 2} .8913003{col 28}{space 2} 1.487794{col 39}{space 1}    0.60{col 48}{space 3}0.551{col 56}{space 4}-2.074564{col 69}{space 3} 3.857164
{txt}{space 9}1886  {c |}{col 16}{res}{space 2} 2.055057{col 28}{space 2} 1.573192{col 39}{space 1}    1.31{col 48}{space 3}0.196{col 56}{space 4}-1.081044{col 69}{space 3} 5.191158
{txt}{space 9}1887  {c |}{col 16}{res}{space 2} 2.096034{col 28}{space 2} 1.497947{col 39}{space 1}    1.40{col 48}{space 3}0.166{col 56}{space 4}-.8900692{col 69}{space 3} 5.082136
{txt}{space 14} {c |}
{space 5}state_num {c |}
{space 12}3  {c |}{col 16}{res}{space 2} 2.174325{col 28}{space 2} 1.010158{col 39}{space 1}    2.15{col 48}{space 3}0.035{col 56}{space 4} .1606111{col 69}{space 3} 4.188038
{txt}{space 12}6  {c |}{col 16}{res}{space 2}-9.630467{col 28}{space 2} 4.317461{col 39}{space 1}   -2.23{col 48}{space 3}0.029{col 56}{space 4}-18.23717{col 69}{space 3}-1.023766
{txt}{space 12}9  {c |}{col 16}{res}{space 2}-14.82279{col 28}{space 2}  2.62892{col 39}{space 1}   -5.64{col 48}{space 3}0.000{col 56}{space 4}-20.06344{col 69}{space 3}-9.582134
{txt}{space 11}10  {c |}{col 16}{res}{space 2}-4.503711{col 28}{space 2}  4.39646{col 39}{space 1}   -1.02{col 48}{space 3}0.309{col 56}{space 4}-13.26789{col 69}{space 3} 4.260472
{txt}{space 11}11  {c |}{col 16}{res}{space 2}-6.903071{col 28}{space 2} 3.200072{col 39}{space 1}   -2.16{col 48}{space 3}0.034{col 56}{space 4} -13.2823{col 69}{space 3}-.5238444
{txt}{space 11}12  {c |}{col 16}{res}{space 2}-.9402476{col 28}{space 2} 1.443617{col 39}{space 1}   -0.65{col 48}{space 3}0.517{col 56}{space 4}-3.818046{col 69}{space 3} 1.937551
{txt}{space 11}13  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}14  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}15  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}18  {c |}{col 16}{res}{space 2}-13.43951{col 28}{space 2} 2.463534{col 39}{space 1}   -5.46{col 48}{space 3}0.000{col 56}{space 4}-18.35047{col 69}{space 3} -8.52854
{txt}{space 11}20  {c |}{col 16}{res}{space 2}-11.57875{col 28}{space 2} 2.974818{col 39}{space 1}   -3.89{col 48}{space 3}0.000{col 56}{space 4}-17.50894{col 69}{space 3} -5.64856
{txt}{space 11}21  {c |}{col 16}{res}{space 2}-11.40275{col 28}{space 2} 3.000037{col 39}{space 1}   -3.80{col 48}{space 3}0.000{col 56}{space 4}-17.38322{col 69}{space 3}-5.422289
{txt}{space 11}25  {c |}{col 16}{res}{space 2}-12.53746{col 28}{space 2} 2.859089{col 39}{space 1}   -4.39{col 48}{space 3}0.000{col 56}{space 4}-18.23695{col 69}{space 3}-6.837969
{txt}{space 11}26  {c |}{col 16}{res}{space 2} 21.52211{col 28}{space 2}  .515867{col 39}{space 1}   41.72{col 48}{space 3}0.000{col 56}{space 4} 20.49375{col 69}{space 3} 22.55047
{txt}{space 11}27  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}28  {c |}{col 16}{res}{space 2}-10.50655{col 28}{space 2} 5.305244{col 39}{space 1}   -1.98{col 48}{space 3}0.051{col 56}{space 4}-21.08236{col 69}{space 3} .0692549
{txt}{space 11}29  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}30  {c |}{col 16}{res}{space 2}-8.156598{col 28}{space 2} 4.778203{col 39}{space 1}   -1.71{col 48}{space 3}0.092{col 56}{space 4}-17.68177{col 69}{space 3} 1.368576
{txt}{space 11}31  {c |}{col 16}{res}{space 2}-11.35116{col 28}{space 2} 2.960159{col 39}{space 1}   -3.83{col 48}{space 3}0.000{col 56}{space 4}-17.25213{col 69}{space 3}-5.450187
{txt}{space 11}32  {c |}{col 16}{res}{space 2}-15.00398{col 28}{space 2} 3.374173{col 39}{space 1}   -4.45{col 48}{space 3}0.000{col 56}{space 4}-21.73027{col 69}{space 3}-8.277689
{txt}{space 11}33  {c |}{col 16}{res}{space 2}  2.99583{col 28}{space 2}  1.02857{col 39}{space 1}    2.91{col 48}{space 3}0.005{col 56}{space 4} .9454138{col 69}{space 3} 5.046247
{txt}{space 11}35  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}39  {c |}{col 16}{res}{space 2}-9.612711{col 28}{space 2} 2.163335{col 39}{space 1}   -4.44{col 48}{space 3}0.000{col 56}{space 4}-13.92524{col 69}{space 3} -5.30018
{txt}{space 11}40  {c |}{col 16}{res}{space 2}-15.23533{col 28}{space 2} 2.566839{col 39}{space 1}   -5.94{col 48}{space 3}0.000{col 56}{space 4}-20.35223{col 69}{space 3}-10.11843
{txt}{space 11}41  {c |}{col 16}{res}{space 2}-11.11013{col 28}{space 2} 4.465482{col 39}{space 1}   -2.49{col 48}{space 3}0.015{col 56}{space 4} -20.0119{col 69}{space 3}-2.208354
{txt}{space 11}42  {c |}{col 16}{res}{space 2}-15.58219{col 28}{space 2} 6.382083{col 39}{space 1}   -2.44{col 48}{space 3}0.017{col 56}{space 4}-28.30464{col 69}{space 3} -2.85974
{txt}{space 11}46  {c |}{col 16}{res}{space 2}-10.64122{col 28}{space 2}  4.13397{col 39}{space 1}   -2.57{col 48}{space 3}0.012{col 56}{space 4}-18.88214{col 69}{space 3}-2.400303
{txt}{space 11}48  {c |}{col 16}{res}{space 2}-11.74007{col 28}{space 2} 3.520725{col 39}{space 1}   -3.33{col 48}{space 3}0.001{col 56}{space 4}-18.75851{col 69}{space 3}-4.721639
{txt}{space 11}49  {c |}{col 16}{res}{space 2} -10.3669{col 28}{space 2} 3.372971{col 39}{space 1}   -3.07{col 48}{space 3}0.003{col 56}{space 4} -17.0908{col 69}{space 3}-3.643006
{txt}{space 11}52  {c |}{col 16}{res}{space 2}-12.73481{col 28}{space 2} 2.643572{col 39}{space 1}   -4.82{col 48}{space 3}0.000{col 56}{space 4}-18.00467{col 69}{space 3}-7.464941
{txt}{space 11}53  {c |}{col 16}{res}{space 2}-10.92889{col 28}{space 2} 3.345144{col 39}{space 1}   -3.27{col 48}{space 3}0.002{col 56}{space 4}-17.59731{col 69}{space 3}-4.260466
{txt}{space 11}56  {c |}{col 16}{res}{space 2}-12.91008{col 28}{space 2} 8.283347{col 39}{space 1}   -1.56{col 48}{space 3}0.123{col 56}{space 4}-29.42263{col 69}{space 3} 3.602466
{txt}{space 11}59  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}60  {c |}{col 16}{res}{space 2} -10.6688{col 28}{space 2} 1.125374{col 39}{space 1}   -9.48{col 48}{space 3}0.000{col 56}{space 4}-12.91219{col 69}{space 3}-8.425406
{txt}{space 11}62  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}63  {c |}{col 16}{res}{space 2}-2.393721{col 28}{space 2} 1.203629{col 39}{space 1}   -1.99{col 48}{space 3}0.051{col 56}{space 4}-4.793111{col 69}{space 3} .0056683
{txt}{space 11}65  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}67  {c |}{col 16}{res}{space 2}-17.40782{col 28}{space 2} 4.181901{col 39}{space 1}   -4.16{col 48}{space 3}0.000{col 56}{space 4}-25.74429{col 69}{space 3}-9.071357
{txt}{space 11}68  {c |}{col 16}{res}{space 2}-9.984817{col 28}{space 2}    4.284{col 39}{space 1}   -2.33{col 48}{space 3}0.023{col 56}{space 4}-18.52482{col 69}{space 3}-1.444819
{txt}{space 11}69  {c |}{col 16}{res}{space 2}-9.120536{col 28}{space 2} 2.909301{col 39}{space 1}   -3.13{col 48}{space 3}0.002{col 56}{space 4}-14.92012{col 69}{space 3} -3.32095
{txt}{space 11}70  {c |}{col 16}{res}{space 2} 25.67937{col 28}{space 2} 1.052044{col 39}{space 1}   24.41{col 48}{space 3}0.000{col 56}{space 4} 23.58216{col 69}{space 3} 27.77658
{txt}{space 11}71  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 14} {c |}
{space 4}agetrimmed {c |}{col 16}{res}{space 2}-.0772297{col 28}{space 2} .0713885{col 39}{space 1}   -1.08{col 48}{space 3}0.283{col 56}{space 4}-.2195401{col 69}{space 3} .0650807
{txt}{space 1}heighttrimmed {c |}{col 16}{res}{space 2} .1672015{col 28}{space 2} .0904018{col 39}{space 1}    1.85{col 48}{space 3}0.068{col 56}{space 4}-.0130113{col 69}{space 3} .3474142
{txt}{space 2}percentblack {c |}{col 16}{res}{space 2} .2378659{col 28}{space 2} 2.422243{col 39}{space 1}    0.10{col 48}{space 3}0.922{col 56}{space 4}-4.590787{col 69}{space 3} 5.066519
{txt}{space 3}manufoutput {c |}{col 16}{res}{space 2} .0009069{col 28}{space 2} .0039843{col 39}{space 1}    0.23{col 48}{space 3}0.821{col 56}{space 4}-.0070357{col 69}{space 3} .0088496
{txt}{space 9}urban {c |}{col 16}{res}{space 2} .0576887{col 28}{space 2} 1.113254{col 39}{space 1}    0.05{col 48}{space 3}0.959{col 56}{space 4}-2.161542{col 69}{space 3} 2.276919
{txt}proportionfarm {c |}{col 16}{res}{space 2} 1.303211{col 28}{space 2} 1.072822{col 39}{space 1}    1.21{col 48}{space 3}0.228{col 56}{space 4}-.8354195{col 69}{space 3} 3.441842
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}  147.808{col 28}{space 2} 6.839246{col 39}{space 1}   21.61{col 48}{space 3}0.000{col 56}{space 4} 134.1742{col 69}{space 3} 161.4418
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. eststo m3: areg weighttrimmed badstate_post i.year i.state_num if ua_rd_sample_mean==1 & distancemean7987<300, vce(cluster distancemean_7987_20) absorb(recid)
{txt}note: 12.state_num omitted because of collinearity
{txt}note: 65.state_num omitted because of collinearity
{txt}note: 70.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     6,111
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}     1,943
{txt}{col 49}{help j_robustsingular##|_new:F(  25,     26)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.9098
{txt}{col 49}Adj R-squared{col 67}= {res}    0.8666
{txt}{col 49}Root MSE{col 67}= {res}    7.2017

{txt}{ralign 79:(Std. Err. adjusted for {res:27} clusters in distancemean_7987_20)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}weighttrimmed{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post {c |}{col 15}{res}{space 2} 2.438372{col 27}{space 2} .5527585{col 38}{space 1}    4.41{col 47}{space 3}0.000{col 55}{space 4} 1.302161{col 68}{space 3} 3.574583
{txt}{space 13} {c |}
{space 9}year {c |}
{space 8}1880  {c |}{col 15}{res}{space 2}  1.62419{col 27}{space 2} 1.820646{col 38}{space 1}    0.89{col 47}{space 3}0.381{col 55}{space 4}-2.118202{col 68}{space 3} 5.366582
{txt}{space 8}1881  {c |}{col 15}{res}{space 2} 1.392487{col 27}{space 2} 1.689663{col 38}{space 1}    0.82{col 47}{space 3}0.417{col 55}{space 4}-2.080665{col 68}{space 3}  4.86564
{txt}{space 8}1882  {c |}{col 15}{res}{space 2} 1.843481{col 27}{space 2} 1.849985{col 38}{space 1}    1.00{col 47}{space 3}0.328{col 55}{space 4}-1.959218{col 68}{space 3}  5.64618
{txt}{space 8}1883  {c |}{col 15}{res}{space 2} 2.121759{col 27}{space 2} 1.783771{col 38}{space 1}    1.19{col 47}{space 3}0.245{col 55}{space 4}-1.544835{col 68}{space 3} 5.788353
{txt}{space 8}1884  {c |}{col 15}{res}{space 2} 1.431139{col 27}{space 2}  1.73961{col 38}{space 1}    0.82{col 47}{space 3}0.418{col 55}{space 4} -2.14468{col 68}{space 3} 5.006958
{txt}{space 8}1885  {c |}{col 15}{res}{space 2} .5667997{col 27}{space 2} 1.830157{col 38}{space 1}    0.31{col 47}{space 3}0.759{col 55}{space 4}-3.195143{col 68}{space 3} 4.328742
{txt}{space 8}1886  {c |}{col 15}{res}{space 2} 1.788645{col 27}{space 2}  2.02579{col 38}{space 1}    0.88{col 47}{space 3}0.385{col 55}{space 4}-2.375426{col 68}{space 3} 5.952717
{txt}{space 8}1887  {c |}{col 15}{res}{space 2} 2.081497{col 27}{space 2} 1.828029{col 38}{space 1}    1.14{col 47}{space 3}0.265{col 55}{space 4} -1.67607{col 68}{space 3} 5.839065
{txt}{space 13} {c |}
{space 4}state_num {c |}
{space 11}3  {c |}{col 15}{res}{space 2}-13.40786{col 27}{space 2} 9.728257{col 38}{space 1}   -1.38{col 47}{space 3}0.180{col 55}{space 4}-33.40458{col 68}{space 3} 6.588861
{txt}{space 11}9  {c |}{col 15}{res}{space 2} -9.81279{col 27}{space 2} 3.679719{col 38}{space 1}   -2.67{col 47}{space 3}0.013{col 55}{space 4}-17.37656{col 68}{space 3} -2.24902
{txt}{space 10}10  {c |}{col 15}{res}{space 2} 7.621517{col 27}{space 2}  4.68959{col 38}{space 1}    1.63{col 47}{space 3}0.116{col 55}{space 4}-2.018073{col 68}{space 3} 17.26111
{txt}{space 10}11  {c |}{col 15}{res}{space 2}-1.053686{col 27}{space 2} 1.851609{col 38}{space 1}   -0.57{col 47}{space 3}0.574{col 55}{space 4}-4.859723{col 68}{space 3} 2.752351
{txt}{space 10}12  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}13  {c |}{col 15}{res}{space 2} 7.540939{col 27}{space 2} 4.043849{col 38}{space 1}    1.86{col 47}{space 3}0.074{col 55}{space 4}-.7713117{col 68}{space 3} 15.85319
{txt}{space 10}18  {c |}{col 15}{res}{space 2}-7.455726{col 27}{space 2} 2.485479{col 38}{space 1}   -3.00{col 47}{space 3}0.006{col 55}{space 4} -12.5647{col 68}{space 3}-2.346749
{txt}{space 10}20  {c |}{col 15}{res}{space 2}-5.216617{col 27}{space 2} 3.148903{col 38}{space 1}   -1.66{col 47}{space 3}0.110{col 55}{space 4}-11.68928{col 68}{space 3} 1.256045
{txt}{space 10}21  {c |}{col 15}{res}{space 2}-5.001705{col 27}{space 2} 3.198054{col 38}{space 1}   -1.56{col 47}{space 3}0.130{col 55}{space 4} -11.5754{col 68}{space 3}  1.57199
{txt}{space 10}25  {c |}{col 15}{res}{space 2}-6.809099{col 27}{space 2} 3.249783{col 38}{space 1}   -2.10{col 47}{space 3}0.046{col 55}{space 4}-13.48912{col 68}{space 3}-.1290752
{txt}{space 10}26  {c |}{col 15}{res}{space 2}-3.793738{col 27}{space 2} .4784734{col 38}{space 1}   -7.93{col 47}{space 3}0.000{col 55}{space 4}-4.777254{col 68}{space 3}-2.810221
{txt}{space 10}28  {c |}{col 15}{res}{space 2}-1.524063{col 27}{space 2} 12.41408{col 38}{space 1}   -0.12{col 47}{space 3}0.903{col 55}{space 4}-27.04156{col 68}{space 3} 23.99344
{txt}{space 10}29  {c |}{col 15}{res}{space 2}-1.559282{col 27}{space 2} 1.797157{col 38}{space 1}   -0.87{col 47}{space 3}0.394{col 55}{space 4}-5.253392{col 68}{space 3} 2.134828
{txt}{space 10}31  {c |}{col 15}{res}{space 2}-7.054386{col 27}{space 2} 4.128745{col 38}{space 1}   -1.71{col 47}{space 3}0.099{col 55}{space 4}-15.54114{col 68}{space 3} 1.432371
{txt}{space 10}32  {c |}{col 15}{res}{space 2}-11.13373{col 27}{space 2} 2.324222{col 38}{space 1}   -4.79{col 47}{space 3}0.000{col 55}{space 4}-15.91124{col 68}{space 3}-6.356228
{txt}{space 10}33  {c |}{col 15}{res}{space 2}-12.56505{col 27}{space 2} 9.662878{col 38}{space 1}   -1.30{col 47}{space 3}0.205{col 55}{space 4}-32.42738{col 68}{space 3} 7.297279
{txt}{space 10}39  {c |}{col 15}{res}{space 2}-14.19285{col 27}{space 2} 3.159731{col 38}{space 1}   -4.49{col 47}{space 3}0.000{col 55}{space 4}-20.68777{col 68}{space 3}-7.697931
{txt}{space 10}40  {c |}{col 15}{res}{space 2}-7.456047{col 27}{space 2} 2.835134{col 38}{space 1}   -2.63{col 47}{space 3}0.014{col 55}{space 4}-13.28375{col 68}{space 3}-1.628345
{txt}{space 10}41  {c |}{col 15}{res}{space 2}-5.622747{col 27}{space 2} 3.659541{col 38}{space 1}   -1.54{col 47}{space 3}0.137{col 55}{space 4}-13.14504{col 68}{space 3} 1.899548
{txt}{space 10}42  {c |}{col 15}{res}{space 2}-9.440141{col 27}{space 2} 6.042516{col 38}{space 1}   -1.56{col 47}{space 3}0.130{col 55}{space 4}-21.86071{col 68}{space 3} 2.980428
{txt}{space 10}48  {c |}{col 15}{res}{space 2}-5.865074{col 27}{space 2} 2.897279{col 38}{space 1}   -2.02{col 47}{space 3}0.053{col 55}{space 4}-11.82052{col 68}{space 3}  .090367
{txt}{space 10}49  {c |}{col 15}{res}{space 2}-3.845929{col 27}{space 2} 2.671021{col 38}{space 1}   -1.44{col 47}{space 3}0.162{col 55}{space 4}-9.336291{col 68}{space 3} 1.644434
{txt}{space 10}50  {c |}{col 15}{res}{space 2}-14.98286{col 27}{space 2} 3.273573{col 38}{space 1}   -4.58{col 47}{space 3}0.000{col 55}{space 4}-21.71179{col 68}{space 3}-8.253936
{txt}{space 10}53  {c |}{col 15}{res}{space 2}-4.922013{col 27}{space 2}  2.84398{col 38}{space 1}   -1.73{col 47}{space 3}0.095{col 55}{space 4} -10.7679{col 68}{space 3}  .923871
{txt}{space 10}60  {c |}{col 15}{res}{space 2}-2.095763{col 27}{space 2} 5.213258{col 38}{space 1}   -0.40{col 47}{space 3}0.691{col 55}{space 4}-12.81177{col 68}{space 3} 8.620241
{txt}{space 10}62  {c |}{col 15}{res}{space 2}-25.32747{col 27}{space 2} .7593509{col 38}{space 1}  -33.35{col 47}{space 3}0.000{col 55}{space 4}-26.88833{col 68}{space 3} -23.7666
{txt}{space 10}65  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}67  {c |}{col 15}{res}{space 2} -9.20211{col 27}{space 2} 6.209794{col 38}{space 1}   -1.48{col 47}{space 3}0.150{col 55}{space 4}-21.96653{col 68}{space 3} 3.562305
{txt}{space 10}69  {c |}{col 15}{res}{space 2}-3.331602{col 27}{space 2} 3.979955{col 38}{space 1}   -0.84{col 47}{space 3}0.410{col 55}{space 4}-11.51252{col 68}{space 3} 4.849313
{txt}{space 10}70  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} 151.5697{col 27}{space 2}  3.20076{col 38}{space 1}   47.35{col 47}{space 3}0.000{col 55}{space 4} 144.9904{col 68}{space 3} 158.1489
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m4: areg weighttrimmed badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if ua_rd_sample_mean==1 & distancemean7987<300 , vce(cluster distancemean_7987_20) absorb(recid)
{txt}note: 3.state_num omitted because of collinearity
{txt}note: 13.state_num omitted because of collinearity
{txt}note: 29.state_num omitted because of collinearity
{txt}note: 62.state_num omitted because of collinearity
{txt}note: 65.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     5,902
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}     1,943
{txt}{col 49}{help j_robustsingular##|_new:F(  26,     26)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.9107
{txt}{col 49}Adj R-squared{col 67}= {res}    0.8656
{txt}{col 49}Root MSE{col 67}= {res}    7.2433

{txt}{ralign 80:(Std. Err. adjusted for {res:27} clusters in distancemean_7987_20)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1} weighttrimmed{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}badstate_post {c |}{col 16}{res}{space 2} 2.514731{col 28}{space 2} .5913953{col 39}{space 1}    4.25{col 48}{space 3}0.000{col 56}{space 4} 1.299101{col 69}{space 3} 3.730362
{txt}{space 14} {c |}
{space 10}year {c |}
{space 9}1880  {c |}{col 16}{res}{space 2} 1.494263{col 28}{space 2} 1.817947{col 39}{space 1}    0.82{col 48}{space 3}0.419{col 56}{space 4} -2.24258{col 69}{space 3} 5.231107
{txt}{space 9}1881  {c |}{col 16}{res}{space 2} 1.395693{col 28}{space 2} 1.708638{col 39}{space 1}    0.82{col 48}{space 3}0.421{col 56}{space 4}-2.116462{col 69}{space 3} 4.907848
{txt}{space 9}1882  {c |}{col 16}{res}{space 2} 1.947679{col 28}{space 2} 1.832241{col 39}{space 1}    1.06{col 48}{space 3}0.298{col 56}{space 4}-1.818545{col 69}{space 3} 5.713903
{txt}{space 9}1883  {c |}{col 16}{res}{space 2} 2.085142{col 28}{space 2} 1.763395{col 39}{space 1}    1.18{col 48}{space 3}0.248{col 56}{space 4}-1.539568{col 69}{space 3} 5.709852
{txt}{space 9}1884  {c |}{col 16}{res}{space 2} 1.582058{col 28}{space 2} 1.746076{col 39}{space 1}    0.91{col 48}{space 3}0.373{col 56}{space 4}-2.007053{col 69}{space 3} 5.171168
{txt}{space 9}1885  {c |}{col 16}{res}{space 2} .7932528{col 28}{space 2} 1.859857{col 39}{space 1}    0.43{col 48}{space 3}0.673{col 56}{space 4}-3.029737{col 69}{space 3} 4.616243
{txt}{space 9}1886  {c |}{col 16}{res}{space 2} 2.164327{col 28}{space 2} 1.994087{col 39}{space 1}    1.09{col 48}{space 3}0.288{col 56}{space 4}-1.934578{col 69}{space 3} 6.263233
{txt}{space 9}1887  {c |}{col 16}{res}{space 2} 2.638169{col 28}{space 2} 1.889347{col 39}{space 1}    1.40{col 48}{space 3}0.174{col 56}{space 4} -1.24544{col 69}{space 3} 6.521778
{txt}{space 14} {c |}
{space 5}state_num {c |}
{space 12}3  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 12}9  {c |}{col 16}{res}{space 2}-17.56624{col 28}{space 2} 3.248957{col 39}{space 1}   -5.41{col 48}{space 3}0.000{col 56}{space 4}-24.24456{col 69}{space 3}-10.88791
{txt}{space 11}10  {c |}{col 16}{res}{space 2}-2.288035{col 28}{space 2} 5.640476{col 39}{space 1}   -0.41{col 48}{space 3}0.688{col 56}{space 4} -13.8822{col 69}{space 3}  9.30613
{txt}{space 11}11  {c |}{col 16}{res}{space 2}-8.608454{col 28}{space 2} 4.781329{col 39}{space 1}   -1.80{col 48}{space 3}0.083{col 56}{space 4}-18.43662{col 69}{space 3} 1.219709
{txt}{space 11}12  {c |}{col 16}{res}{space 2}-1.808921{col 28}{space 2} 2.147289{col 39}{space 1}   -0.84{col 48}{space 3}0.407{col 56}{space 4}-6.222737{col 69}{space 3} 2.604894
{txt}{space 11}13  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}18  {c |}{col 16}{res}{space 2}-15.97844{col 28}{space 2} 3.599854{col 39}{space 1}   -4.44{col 48}{space 3}0.000{col 56}{space 4}-23.37805{col 69}{space 3}-8.578835
{txt}{space 11}20  {c |}{col 16}{res}{space 2}-14.21957{col 28}{space 2}  4.14778{col 39}{space 1}   -3.43{col 48}{space 3}0.002{col 56}{space 4}-22.74546{col 69}{space 3}-5.693689
{txt}{space 11}21  {c |}{col 16}{res}{space 2}-13.90198{col 28}{space 2} 4.044855{col 39}{space 1}   -3.44{col 48}{space 3}0.002{col 56}{space 4}-22.21629{col 69}{space 3}-5.587657
{txt}{space 11}25  {c |}{col 16}{res}{space 2}-14.99087{col 28}{space 2} 3.950173{col 39}{space 1}   -3.79{col 48}{space 3}0.001{col 56}{space 4}-23.11056{col 69}{space 3}-6.871169
{txt}{space 11}26  {c |}{col 16}{res}{space 2}   21.007{col 28}{space 2}  .735687{col 39}{space 1}   28.55{col 48}{space 3}0.000{col 56}{space 4} 19.49478{col 69}{space 3} 22.51923
{txt}{space 11}28  {c |}{col 16}{res}{space 2}-11.44897{col 28}{space 2} 13.69328{col 39}{space 1}   -0.84{col 48}{space 3}0.411{col 56}{space 4}-39.59591{col 69}{space 3} 16.69796
{txt}{space 11}29  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}31  {c |}{col 16}{res}{space 2}-15.80111{col 28}{space 2}  3.90478{col 39}{space 1}   -4.05{col 48}{space 3}0.000{col 56}{space 4} -23.8275{col 69}{space 3}-7.774722
{txt}{space 11}32  {c |}{col 16}{res}{space 2} -18.0929{col 28}{space 2} 4.095713{col 39}{space 1}   -4.42{col 48}{space 3}0.000{col 56}{space 4}-26.51176{col 69}{space 3}-9.674045
{txt}{space 11}33  {c |}{col 16}{res}{space 2} 1.058101{col 28}{space 2} .8792918{col 39}{space 1}    1.20{col 48}{space 3}0.240{col 56}{space 4}-.7493088{col 69}{space 3} 2.865512
{txt}{space 11}40  {c |}{col 16}{res}{space 2}-16.86886{col 28}{space 2} 4.038775{col 39}{space 1}   -4.18{col 48}{space 3}0.000{col 56}{space 4}-25.17068{col 69}{space 3}-8.567036
{txt}{space 11}41  {c |}{col 16}{res}{space 2}-15.07134{col 28}{space 2} 5.085445{col 39}{space 1}   -2.96{col 48}{space 3}0.006{col 56}{space 4}-25.52462{col 69}{space 3}-4.618062
{txt}{space 11}42  {c |}{col 16}{res}{space 2}-18.77345{col 28}{space 2} 7.444292{col 39}{space 1}   -2.52{col 48}{space 3}0.018{col 56}{space 4}-34.07541{col 69}{space 3}-3.471487
{txt}{space 11}48  {c |}{col 16}{res}{space 2}-15.42809{col 28}{space 2} 4.840643{col 39}{space 1}   -3.19{col 48}{space 3}0.004{col 56}{space 4}-25.37818{col 69}{space 3}-5.478009
{txt}{space 11}49  {c |}{col 16}{res}{space 2}-12.74464{col 28}{space 2} 4.535102{col 39}{space 1}   -2.81{col 48}{space 3}0.009{col 56}{space 4}-22.06667{col 69}{space 3}-3.422602
{txt}{space 11}53  {c |}{col 16}{res}{space 2}-14.43787{col 28}{space 2} 4.593909{col 39}{space 1}   -3.14{col 48}{space 3}0.004{col 56}{space 4}-23.88078{col 69}{space 3}-4.994951
{txt}{space 11}60  {c |}{col 16}{res}{space 2}-9.400746{col 28}{space 2} 1.661073{col 39}{space 1}   -5.66{col 48}{space 3}0.000{col 56}{space 4}-12.81513{col 69}{space 3}-5.986361
{txt}{space 11}62  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}65  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}67  {c |}{col 16}{res}{space 2}-18.50364{col 28}{space 2} 7.582694{col 39}{space 1}   -2.44{col 48}{space 3}0.022{col 56}{space 4}-34.09009{col 69}{space 3}-2.917191
{txt}{space 11}69  {c |}{col 16}{res}{space 2}-12.67116{col 28}{space 2} 3.964383{col 39}{space 1}   -3.20{col 48}{space 3}0.004{col 56}{space 4}-20.82007{col 69}{space 3}-4.522258
{txt}{space 11}70  {c |}{col 16}{res}{space 2} 24.99272{col 28}{space 2} 1.253771{col 39}{space 1}   19.93{col 48}{space 3}0.000{col 56}{space 4} 22.41556{col 69}{space 3} 27.56988
{txt}{space 14} {c |}
{space 4}agetrimmed {c |}{col 16}{res}{space 2}-.0694538{col 28}{space 2} .0663115{col 39}{space 1}   -1.05{col 48}{space 3}0.305{col 56}{space 4}-.2057591{col 69}{space 3} .0668515
{txt}{space 1}heighttrimmed {c |}{col 16}{res}{space 2} .1662454{col 28}{space 2}  .092562{col 39}{space 1}    1.80{col 48}{space 3}0.084{col 56}{space 4}-.0240186{col 69}{space 3} .3565094
{txt}{space 2}percentblack {c |}{col 16}{res}{space 2}-5.737754{col 28}{space 2} 6.564907{col 39}{space 1}   -0.87{col 48}{space 3}0.390{col 56}{space 4}-19.23211{col 69}{space 3} 7.756605
{txt}{space 3}manufoutput {c |}{col 16}{res}{space 2} .0012447{col 28}{space 2} .0042425{col 39}{space 1}    0.29{col 48}{space 3}0.772{col 56}{space 4}-.0074758{col 69}{space 3} .0099653
{txt}{space 9}urban {c |}{col 16}{res}{space 2} .3773788{col 28}{space 2} 1.289368{col 39}{space 1}    0.29{col 48}{space 3}0.772{col 56}{space 4}-2.272954{col 69}{space 3} 3.027712
{txt}proportionfarm {c |}{col 16}{res}{space 2} 1.069803{col 28}{space 2} 1.225236{col 39}{space 1}    0.87{col 48}{space 3}0.391{col 56}{space 4}-1.448706{col 69}{space 3} 3.588313
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 149.4584{col 28}{space 2} 7.982442{col 39}{space 1}   18.72{col 48}{space 3}0.000{col 56}{space 4} 133.0503{col 69}{space 3} 165.8666
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. eststo m5: areg weighttrimmed badstate_post i.year i.state_num if ua_rd_sample_mean==1 & distancemean7987<200, vce(cluster distancemean_7987_20) absorb(recid)
{txt}note: 65.state_num omitted because of collinearity
{txt}note: 70.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,832
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}     1,534
{txt}{col 49}{help j_robustsingular##|_new:F(  18,     18)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.9103
{txt}{col 49}Adj R-squared{col 67}= {res}    0.8674
{txt}{col 49}Root MSE{col 67}= {res}    7.2500

{txt}{ralign 79:(Std. Err. adjusted for {res:19} clusters in distancemean_7987_20)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}weighttrimmed{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post {c |}{col 15}{res}{space 2}  2.76506{col 27}{space 2} .5592655{col 38}{space 1}    4.94{col 47}{space 3}0.000{col 55}{space 4} 1.590086{col 68}{space 3} 3.940033
{txt}{space 13} {c |}
{space 9}year {c |}
{space 8}1880  {c |}{col 15}{res}{space 2} 1.766977{col 27}{space 2} 2.016433{col 38}{space 1}    0.88{col 47}{space 3}0.392{col 55}{space 4}-2.469392{col 68}{space 3} 6.003346
{txt}{space 8}1881  {c |}{col 15}{res}{space 2} 1.143555{col 27}{space 2} 1.808714{col 38}{space 1}    0.63{col 47}{space 3}0.535{col 55}{space 4}-2.656411{col 68}{space 3} 4.943521
{txt}{space 8}1882  {c |}{col 15}{res}{space 2} 1.503247{col 27}{space 2}  1.97956{col 38}{space 1}    0.76{col 47}{space 3}0.457{col 55}{space 4}-2.655654{col 68}{space 3} 5.662148
{txt}{space 8}1883  {c |}{col 15}{res}{space 2} 1.774044{col 27}{space 2} 1.924193{col 38}{space 1}    0.92{col 47}{space 3}0.369{col 55}{space 4}-2.268534{col 68}{space 3} 5.816623
{txt}{space 8}1884  {c |}{col 15}{res}{space 2} 1.025185{col 27}{space 2} 1.878467{col 38}{space 1}    0.55{col 47}{space 3}0.592{col 55}{space 4}-2.921326{col 68}{space 3} 4.971697
{txt}{space 8}1885  {c |}{col 15}{res}{space 2} .1224125{col 27}{space 2} 1.969807{col 38}{space 1}    0.06{col 47}{space 3}0.951{col 55}{space 4}-4.015998{col 68}{space 3} 4.260823
{txt}{space 8}1886  {c |}{col 15}{res}{space 2} 1.080556{col 27}{space 2} 2.168291{col 38}{space 1}    0.50{col 47}{space 3}0.624{col 55}{space 4}-3.474856{col 68}{space 3} 5.635967
{txt}{space 8}1887  {c |}{col 15}{res}{space 2}  1.91312{col 27}{space 2} 2.020804{col 38}{space 1}    0.95{col 47}{space 3}0.356{col 55}{space 4}-2.332431{col 68}{space 3} 6.158672
{txt}{space 13} {c |}
{space 4}state_num {c |}
{space 11}9  {c |}{col 15}{res}{space 2} 5.660937{col 27}{space 2} 9.490832{col 38}{space 1}    0.60{col 47}{space 3}0.558{col 55}{space 4}-14.27856{col 68}{space 3} 25.60044
{txt}{space 10}10  {c |}{col 15}{res}{space 2} 20.10621{col 27}{space 2} 9.742928{col 38}{space 1}    2.06{col 47}{space 3}0.054{col 55}{space 4}  -.36292{col 68}{space 3} 40.57534
{txt}{space 10}11  {c |}{col 15}{res}{space 2} 12.22196{col 27}{space 2} 9.340201{col 38}{space 1}    1.31{col 47}{space 3}0.207{col 55}{space 4}-7.401071{col 68}{space 3}   31.845
{txt}{space 10}12  {c |}{col 15}{res}{space 2}  12.9884{col 27}{space 2} 9.920515{col 38}{space 1}    1.31{col 47}{space 3}0.207{col 55}{space 4} -7.85383{col 68}{space 3} 33.83063
{txt}{space 10}18  {c |}{col 15}{res}{space 2} 6.907842{col 27}{space 2} 10.13879{col 38}{space 1}    0.68{col 47}{space 3}0.504{col 55}{space 4}-14.39296{col 68}{space 3} 28.20865
{txt}{space 10}20  {c |}{col 15}{res}{space 2} 8.337998{col 27}{space 2} 8.733891{col 38}{space 1}    0.95{col 47}{space 3}0.352{col 55}{space 4}-10.01123{col 68}{space 3} 26.68722
{txt}{space 10}21  {c |}{col 15}{res}{space 2} 9.938647{col 27}{space 2} 8.948759{col 38}{space 1}    1.11{col 47}{space 3}0.281{col 55}{space 4}-8.861998{col 68}{space 3} 28.73929
{txt}{space 10}25  {c |}{col 15}{res}{space 2} 7.793569{col 27}{space 2}  10.0327{col 38}{space 1}    0.78{col 47}{space 3}0.447{col 55}{space 4}-13.28434{col 68}{space 3} 28.87148
{txt}{space 10}26  {c |}{col 15}{res}{space 2} -3.39237{col 27}{space 2} .4524687{col 38}{space 1}   -7.50{col 47}{space 3}0.000{col 55}{space 4}-4.342972{col 68}{space 3}-2.441769
{txt}{space 10}29  {c |}{col 15}{res}{space 2} 11.22907{col 27}{space 2} 9.576086{col 38}{space 1}    1.17{col 47}{space 3}0.256{col 55}{space 4}-8.889538{col 68}{space 3} 31.34768
{txt}{space 10}31  {c |}{col 15}{res}{space 2} 13.97148{col 27}{space 2} 9.859679{col 38}{space 1}    1.42{col 47}{space 3}0.174{col 55}{space 4} -6.74294{col 68}{space 3} 34.68589
{txt}{space 10}33  {c |}{col 15}{res}{space 2} 1.102043{col 27}{space 2} .5172692{col 38}{space 1}    2.13{col 47}{space 3}0.047{col 55}{space 4} .0153004{col 68}{space 3} 2.188785
{txt}{space 10}40  {c |}{col 15}{res}{space 2}  7.42716{col 27}{space 2} 9.525896{col 38}{space 1}    0.78{col 47}{space 3}0.446{col 55}{space 4}  -12.586{col 68}{space 3} 27.44032
{txt}{space 10}41  {c |}{col 15}{res}{space 2} 3.315721{col 27}{space 2} 9.627614{col 38}{space 1}    0.34{col 47}{space 3}0.735{col 55}{space 4}-16.91115{col 68}{space 3} 23.54259
{txt}{space 10}42  {c |}{col 15}{res}{space 2} 3.064932{col 27}{space 2} 9.468301{col 38}{space 1}    0.32{col 47}{space 3}0.750{col 55}{space 4}-16.82723{col 68}{space 3} 22.95709
{txt}{space 10}48  {c |}{col 15}{res}{space 2}  7.57834{col 27}{space 2} 9.870249{col 38}{space 1}    0.77{col 47}{space 3}0.453{col 55}{space 4}-13.15828{col 68}{space 3} 28.31496
{txt}{space 10}49  {c |}{col 15}{res}{space 2} 10.44766{col 27}{space 2} 9.704751{col 38}{space 1}    1.08{col 47}{space 3}0.296{col 55}{space 4}-9.941269{col 68}{space 3} 30.83658
{txt}{space 10}50  {c |}{col 15}{res}{space 2}-4.310906{col 27}{space 2} 8.838528{col 38}{space 1}   -0.49{col 47}{space 3}0.632{col 55}{space 4}-22.87996{col 68}{space 3} 14.25815
{txt}{space 10}53  {c |}{col 15}{res}{space 2} 7.785819{col 27}{space 2} 8.608246{col 38}{space 1}    0.90{col 47}{space 3}0.378{col 55}{space 4}-10.29943{col 68}{space 3} 25.87107
{txt}{space 10}62  {c |}{col 15}{res}{space 2}-24.90103{col 27}{space 2} .7976827{col 38}{space 1}  -31.22{col 47}{space 3}0.000{col 55}{space 4} -26.5769{col 68}{space 3}-23.22516
{txt}{space 10}65  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 10}69  {c |}{col 15}{res}{space 2} 10.83239{col 27}{space 2} 12.73518{col 38}{space 1}    0.85{col 47}{space 3}0.406{col 55}{space 4}-15.92323{col 68}{space 3}   37.588
{txt}{space 10}70  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (omitted)
{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} 138.8631{col 27}{space 2} 7.575287{col 38}{space 1}   18.33{col 47}{space 3}0.000{col 55}{space 4}  122.948{col 68}{space 3} 154.7782
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m6: areg weighttrimmed badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if ua_rd_sample_mean==1 & distancemean7987<200 , vce(cluster distancemean_7987_20) absorb(recid)
{txt}note: 12.state_num omitted because of collinearity
{txt}note: 31.state_num omitted because of collinearity
{txt}note: 65.state_num omitted because of collinearity
{txt}note: 70.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,663
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}     1,534
{txt}{col 49}{help j_robustsingular##|_new:F(  18,     18)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.9116
{txt}{col 49}Adj R-squared{col 67}= {res}    0.8669
{txt}{col 49}Root MSE{col 67}= {res}    7.2800

{txt}{ralign 80:(Std. Err. adjusted for {res:19} clusters in distancemean_7987_20)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1} weighttrimmed{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}badstate_post {c |}{col 16}{res}{space 2}  2.89597{col 28}{space 2} .5950988{col 39}{space 1}    4.87{col 48}{space 3}0.000{col 56}{space 4} 1.645714{col 69}{space 3} 4.146226
{txt}{space 14} {c |}
{space 10}year {c |}
{space 9}1880  {c |}{col 16}{res}{space 2} 1.695041{col 28}{space 2} 2.026892{col 39}{space 1}    0.84{col 48}{space 3}0.414{col 56}{space 4}  -2.5633{col 69}{space 3} 5.953383
{txt}{space 9}1881  {c |}{col 16}{res}{space 2} 1.163299{col 28}{space 2} 1.828262{col 39}{space 1}    0.64{col 48}{space 3}0.533{col 56}{space 4}-2.677737{col 69}{space 3} 5.004334
{txt}{space 9}1882  {c |}{col 16}{res}{space 2} 1.631014{col 28}{space 2} 1.965292{col 39}{space 1}    0.83{col 48}{space 3}0.417{col 56}{space 4}-2.497911{col 69}{space 3} 5.759939
{txt}{space 9}1883  {c |}{col 16}{res}{space 2} 1.804513{col 28}{space 2} 1.914309{col 39}{space 1}    0.94{col 48}{space 3}0.358{col 56}{space 4}-2.217302{col 69}{space 3} 5.826327
{txt}{space 9}1884  {c |}{col 16}{res}{space 2} 1.293146{col 28}{space 2} 1.921197{col 39}{space 1}    0.67{col 48}{space 3}0.509{col 56}{space 4}-2.743138{col 69}{space 3} 5.329431
{txt}{space 9}1885  {c |}{col 16}{res}{space 2} .4169354{col 28}{space 2} 2.018226{col 39}{space 1}    0.21{col 48}{space 3}0.839{col 56}{space 4}  -3.8232{col 69}{space 3}  4.65707
{txt}{space 9}1886  {c |}{col 16}{res}{space 2} 1.516743{col 28}{space 2} 2.158003{col 39}{space 1}    0.70{col 48}{space 3}0.491{col 56}{space 4}-3.017054{col 69}{space 3} 6.050539
{txt}{space 9}1887  {c |}{col 16}{res}{space 2} 2.565241{col 28}{space 2} 2.131832{col 39}{space 1}    1.20{col 48}{space 3}0.244{col 56}{space 4}-1.913571{col 69}{space 3} 7.044053
{txt}{space 14} {c |}
{space 5}state_num {c |}
{space 12}9  {c |}{col 16}{res}{space 2}-7.501167{col 28}{space 2} 4.293202{col 39}{space 1}   -1.75{col 48}{space 3}0.098{col 56}{space 4}-16.52085{col 69}{space 3} 1.518516
{txt}{space 11}10  {c |}{col 16}{res}{space 2} 5.858987{col 28}{space 2} 1.815781{col 39}{space 1}    3.23{col 48}{space 3}0.005{col 56}{space 4} 2.044172{col 69}{space 3} 9.673801
{txt}{space 11}11  {c |}{col 16}{res}{space 2}-.5124224{col 28}{space 2} 2.824045{col 39}{space 1}   -0.18{col 48}{space 3}0.858{col 56}{space 4} -6.44552{col 69}{space 3} 5.420675
{txt}{space 11}12  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}18  {c |}{col 16}{res}{space 2} -6.27005{col 28}{space 2} 2.476481{col 39}{space 1}   -2.53{col 48}{space 3}0.021{col 56}{space 4}-11.47294{col 69}{space 3}-1.067157
{txt}{space 11}20  {c |}{col 16}{res}{space 2}-5.236684{col 28}{space 2} 3.185449{col 39}{space 1}   -1.64{col 48}{space 3}0.118{col 56}{space 4}-11.92906{col 69}{space 3} 1.455696
{txt}{space 11}21  {c |}{col 16}{res}{space 2}-3.313593{col 28}{space 2}  2.86943{col 39}{space 1}   -1.15{col 48}{space 3}0.263{col 56}{space 4}-9.342041{col 69}{space 3} 2.714854
{txt}{space 11}25  {c |}{col 16}{res}{space 2}-5.499261{col 28}{space 2} 2.499965{col 39}{space 1}   -2.20{col 48}{space 3}0.041{col 56}{space 4}-10.75149{col 69}{space 3}-.2470307
{txt}{space 11}26  {c |}{col 16}{res}{space 2}-3.461822{col 28}{space 2} .6269582{col 39}{space 1}   -5.52{col 48}{space 3}0.000{col 56}{space 4}-4.779012{col 69}{space 3}-2.144632
{txt}{space 11}29  {c |}{col 16}{res}{space 2} 1.116994{col 28}{space 2} 2.309551{col 39}{space 1}    0.48{col 48}{space 3}0.634{col 56}{space 4}-3.735193{col 69}{space 3} 5.969182
{txt}{space 11}31  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}33  {c |}{col 16}{res}{space 2} 1.462407{col 28}{space 2} 1.055873{col 39}{space 1}    1.39{col 48}{space 3}0.183{col 56}{space 4}-.7558994{col 69}{space 3} 3.680713
{txt}{space 11}40  {c |}{col 16}{res}{space 2}-6.820993{col 28}{space 2} 1.918991{col 39}{space 1}   -3.55{col 48}{space 3}0.002{col 56}{space 4}-10.85264{col 69}{space 3}-2.789342
{txt}{space 11}41  {c |}{col 16}{res}{space 2} -11.2297{col 28}{space 2} 6.528043{col 39}{space 1}   -1.72{col 48}{space 3}0.103{col 56}{space 4}-24.94461{col 69}{space 3} 2.485207
{txt}{space 11}42  {c |}{col 16}{res}{space 2}-11.32154{col 28}{space 2} 6.651702{col 39}{space 1}   -1.70{col 48}{space 3}0.106{col 56}{space 4}-25.29625{col 69}{space 3} 2.653165
{txt}{space 11}48  {c |}{col 16}{res}{space 2}-6.482095{col 28}{space 2} 3.114789{col 39}{space 1}   -2.08{col 48}{space 3}0.052{col 56}{space 4}-13.02602{col 69}{space 3} .0618336
{txt}{space 11}49  {c |}{col 16}{res}{space 2}-2.903732{col 28}{space 2} .9646325{col 39}{space 1}   -3.01{col 48}{space 3}0.008{col 56}{space 4}-4.930349{col 69}{space 3}-.8771141
{txt}{space 11}53  {c |}{col 16}{res}{space 2}-6.715569{col 28}{space 2} 3.838509{col 39}{space 1}   -1.75{col 48}{space 3}0.097{col 56}{space 4}-14.77998{col 69}{space 3} 1.348838
{txt}{space 11}62  {c |}{col 16}{res}{space 2}-24.38149{col 28}{space 2} 1.410105{col 39}{space 1}  -17.29{col 48}{space 3}0.000{col 56}{space 4}-27.34401{col 69}{space 3}-21.41897
{txt}{space 11}65  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}69  {c |}{col 16}{res}{space 2}-1.889318{col 28}{space 2} 8.332518{col 39}{space 1}   -0.23{col 48}{space 3}0.823{col 56}{space 4}-19.39529{col 69}{space 3} 15.61665
{txt}{space 11}70  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 14} {c |}
{space 4}agetrimmed {c |}{col 16}{res}{space 2}-.0888217{col 28}{space 2}  .072221{col 39}{space 1}   -1.23{col 48}{space 3}0.235{col 56}{space 4}-.2405524{col 69}{space 3}  .062909
{txt}{space 1}heighttrimmed {c |}{col 16}{res}{space 2}  .160217{col 28}{space 2} .0968539{col 39}{space 1}    1.65{col 48}{space 3}0.115{col 56}{space 4}-.0432656{col 69}{space 3} .3636996
{txt}{space 2}percentblack {c |}{col 16}{res}{space 2}-3.668951{col 28}{space 2} 7.376819{col 39}{space 1}   -0.50{col 48}{space 3}0.625{col 56}{space 4}-19.16707{col 69}{space 3} 11.82917
{txt}{space 3}manufoutput {c |}{col 16}{res}{space 2} .0007801{col 28}{space 2} .0050879{col 39}{space 1}    0.15{col 48}{space 3}0.880{col 56}{space 4}-.0099092{col 69}{space 3} .0114693
{txt}{space 9}urban {c |}{col 16}{res}{space 2}-.4299695{col 28}{space 2} 1.439336{col 39}{space 1}   -0.30{col 48}{space 3}0.769{col 56}{space 4}-3.453902{col 69}{space 3} 2.593963
{txt}proportionfarm {c |}{col 16}{res}{space 2} .3589691{col 28}{space 2} 1.466197{col 39}{space 1}    0.24{col 48}{space 3}0.809{col 56}{space 4}-2.721397{col 69}{space 3} 3.439335
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 144.0829{col 28}{space 2} 6.745143{col 39}{space 1}   21.36{col 48}{space 3}0.000{col 56}{space 4} 129.9119{col 69}{space 3} 158.2539
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. estout m1 m2 m3 m4 m5 m6 using Table6.tex, replace style(tex) collabels(none) mlabels("Model 1" "Model 2" "Model 3" "Model 4" "Model 5" "Model 6", span prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) prehead("\begin{c -(}table{c )-}[htbp!]\caption{c -(}@title{c )-}" "\begin{c -(}center{c )-}" "\scriptsize" "\begin{c -(}threeparttable{c )-}"  "\begin{c -(}tabular{c )-}{c -(}l*{c -(}@M{c )-}{c -(}rr{c )-}{c )-}" "\hline")  cells(  b(star fmt(2)) se(par fmt(2)) ) starlevels(* .10 ** .05 *** .01)   s( N )  
{res}{txt}(note: file Table6.tex not found)
(output written to {browse  `"Table6.tex"'})

{com}. 
. *Table 7
. 
. ttest weighttrimmedmeandiffnm if usct==1 & usct_rd_sample==1, by(badstatemean7987) 

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    282{col 22} 1.224852{col 34} .6783498{col 46} 11.39143{col 58}-.1104401{col 70} 2.560145
       {txt}1 {c |}{res}{col 12}    142{col 22}-.2453052{col 34} 1.127216{col 46} 13.43233{col 58}-2.473734{col 70} 1.983123
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    424{col 22} .7324882{col 34} .5884663{col 46} 12.11726{col 58}-.4241941{col 70}  1.88917
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} 1.470157{col 34} 1.246286{col 58}-.9795446{col 70} 3.919859
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.1796
{txt}Ho: diff = 0                                     degrees of freedom = {res}     422

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8806         {txt}Pr(|T| > |t|) = {res}0.2388          {txt}Pr(T > t) = {res}0.1194
{txt}
{com}. ttest weighttrimmedmeandiffnm if usct==1 & usct_rd_sample==1 & distancemean7987<=300, by(badstatemean7987) 

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    247{col 22} .8761472{col 34} .7219983{col 46} 11.34709{col 58}-.5459398{col 70} 2.298234
       {txt}1 {c |}{res}{col 12}    123{col 22}-.7384824{col 34} 1.193836{col 46} 13.24028{col 58}-3.101801{col 70} 1.624836
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    370{col 22} .3393919{col 34} .6246681{col 46} 12.01573{col 58} -.888964{col 70} 1.567748
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}  1.61463{col 34}  1.32515{col 58}-.9911867{col 70} 4.220446
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.2185
{txt}Ho: diff = 0                                     degrees of freedom = {res}     368

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8881         {txt}Pr(|T| > |t|) = {res}0.2238          {txt}Pr(T > t) = {res}0.1119
{txt}
{com}. ttest weighttrimmedmeandiffnm if usct==1 & usct_rd_sample==1 & distancemean7987<=200, by(badstatemean7987) 

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    196{col 22}  1.03801{col 34} .8617523{col 46} 12.06453{col 58}-.6615411{col 70} 2.737562
       {txt}1 {c |}{res}{col 12}    101{col 22}-.6716173{col 34} 1.382693{col 46} 13.89589{col 58}-3.414841{col 70} 2.071606
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    297{col 22} .4566218{col 34} .7380499{col 46} 12.71932{col 58}-.9958684{col 70} 1.909112
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} 1.709628{col 34} 1.557411{col 58}-1.355416{col 70} 4.774671
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.0977
{txt}Ho: diff = 0                                     degrees of freedom = {res}     295

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8634         {txt}Pr(|T| > |t|) = {res}0.2732          {txt}Pr(T > t) = {res}0.1366
{txt}
{com}. 
. 
. ttest weighttrimmedmeandiffnm if usct==0 & ua_rd_sample==1, by(badstatemean7987) 

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  2,334{col 22} -.137479{col 34} .2154671{col 46} 10.40953{col 58}-.5600059{col 70} .2850479
       {txt}1 {c |}{res}{col 12}    176{col 22} 2.238589{col 34} .7778629{col 46} 10.31952{col 58} .7033887{col 70} 3.773788
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  2,510{col 22} .0291297{col 34} .2079623{col 46} 10.41889{col 58}-.3786657{col 70} .4369251
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-2.376068{col 34} .8132055{col 58}-3.970691{col 70}-.7814444
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -2.9219
{txt}Ho: diff = 0                                     degrees of freedom = {res}    2508

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0018         {txt}Pr(|T| > |t|) = {res}0.0035          {txt}Pr(T > t) = {res}0.9982
{txt}
{com}. ttest weighttrimmedmeandiffnm if usct==0 & ua_rd_sample==1 & distancemean7987<=300, by(badstatemean7987) 

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  1,778{col 22}-.2489671{col 34} .2339427{col 46} 9.864506{col 58}-.7077988{col 70} .2098647
       {txt}1 {c |}{res}{col 12}    165{col 22} 2.436313{col 34} .8104383{col 46} 10.41027{col 58} .8360743{col 70} 4.036551
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  1,943{col 22}-.0209325{col 34} .2254445{col 46} 9.937477{col 58}-.4630712{col 70} .4212062
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} -2.68528{col 34} .8066409{col 58}-4.267253{col 70}-1.103306
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -3.3290
{txt}Ho: diff = 0                                     degrees of freedom = {res}    1941

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0004         {txt}Pr(|T| > |t|) = {res}0.0009          {txt}Pr(T > t) = {res}0.9996
{txt}
{com}. ttest weighttrimmedmeandiffnm if usct==0 & ua_rd_sample==1 & distancemean7987<=200, by(badstatemean7987) 

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}  1,373{col 22}-.5082339{col 34} .2695825{col 46} 9.989114{col 58}-1.037072{col 70} .0206046
       {txt}1 {c |}{res}{col 12}    161{col 22} 2.568271{col 34} .8264939{col 46} 10.48703{col 58} .9360268{col 70} 4.200515
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}  1,534{col 22}-.1853413{col 34}  .257446{col 46} 10.08321{col 58}-.6903249{col 70} .3196422
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-3.076505{col 34} .8365586{col 58}-4.717426{col 70}-1.435583
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -3.6776
{txt}Ho: diff = 0                                     degrees of freedom = {res}    1532

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0001         {txt}Pr(|T| > |t|) = {res}0.0002          {txt}Pr(T > t) = {res}0.9999
{txt}
{com}. 
. *Table 8
. 
. eststo m1: rdrobust weighttrimmedmeandiffnm distancemean7987_running if usct==1 & sameborder==1 & heighttrimmedpre~=. & weighttrimmedpre~=. & agetrimmedpre~=. & urban7983mean~=. & propfarm7983mean~=. & manufoutput7983mean~=. & pctblack7983mean~=. & lat_avg~=. & long_avg~=., all vce (cluster distancemean_7987_20) 
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}       424
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}      282{col 34}      142{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      158{col 34}       71{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}  102.424{col 34}  102.424
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}  181.814{col 34}  181.814
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.563{col 34}    0.563
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}        9{col 34}        9

Outcome: weighttrimmedmeandiffnm. Running variable: distancemean7987_running.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-3.1268{col 33} 1.4492{col 43}-2.1576{col 52}0.031{col 60}-5.96731{col 73}-.286372
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-3.7065{col 33} 1.4492{col 43}-2.5575{col 52}0.011{col 60}-6.54696{col 73}-.866018
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-3.7065{col 33} 1.3449{col 43}-2.7559{col 52}0.006{col 60}-6.34252{col 73}-1.07046
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in distancemean_7987_20

{com}. eststo m2: rdrobust weighttrimmedmeandiffnm distancemean7987_running if usct==1 & sameborder==1 , all vce (cluster distancemean_7987_20) covs( agetrimmedpre heighttrimmedpre weighttrimmedpre urban7983mean manufoutput7983mean propfarm7983mean pctblack7983mean segment_2-segment_4) 
{res}
Covariate-adjusted sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}       424
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}      282{col 34}      142{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      143{col 34}       62{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}   79.269{col 34}   79.269
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}  144.725{col 34}  144.725
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.548{col 34}    0.548
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}        7{col 34}        8

Outcome: weighttrimmedmeandiffnm. Running variable: distancemean7987_running.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-3.7447{col 33} 1.3452{col 43}-2.7837{col 52}0.005{col 60}-6.38126{col 73}-1.10812
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-3.8121{col 33} 1.3452{col 43}-2.8338{col 52}0.005{col 60} -6.4487{col 73}-1.17556
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-3.8121{col 33} 1.4427{col 43}-2.6424{col 52}0.008{col 60} -6.6397{col 73}-.984562
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 10
Std. Err. adjusted for clusters in distancemean_7987_20

{com}. 
. eststo m3: rdrobust weighttrimmedmeandiffnm distancemean7987_running if usct==1 & sameborder==1 & heighttrimmedpre~=. & weighttrimmedpre~=. & agetrimmedpre~=. & urban7983mean~=. & propfarm7983mean~=. & manufoutput7983mean~=. & pctblack7983mean~=. & lat_avg~=. & long_avg~=. & preweightdiffmean~=., all vce (cluster distancemean_7987_20) 
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}       182
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}      139{col 34}       43{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}       67{col 34}       16{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}   72.061{col 34}   72.061
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}  135.196{col 34}  135.196
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.533{col 34}    0.533
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}        7{col 34}        7

Outcome: weighttrimmedmeandiffnm. Running variable: distancemean7987_running.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-5.1246{col 33} 1.5501{col 43}-3.3059{col 52}0.001{col 60}-8.16281{col 73}-2.08639
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-4.4716{col 33} 1.5501{col 43}-2.8847{col 52}0.004{col 60}-7.50985{col 73}-1.43343
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-4.4716{col 33}  1.925{col 43}-2.3229{col 52}0.020{col 60}-8.24454{col 73}-.698733
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in distancemean_7987_20

{com}. eststo m4: rdrobust weighttrimmedmeandiffnm distancemean7987_running if usct==1 & sameborder==1 , all vce (cluster distancemean_7987_20) covs( agetrimmedpre heighttrimmedpre weighttrimmedpre urban7983mean manufoutput7983mean propfarm7983mean pctblack7983mean preweightdiffmean segment_2-segment_4) h(80) b(140)
{res}
Covariate-adjusted sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}       182
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:Manual}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}      139{col 34}       43{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}       69{col 34}       19{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}   80.000{col 34}   80.000
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}  140.000{col 34}  140.000
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.571{col 34}    0.571
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}        7{col 34}        7

Outcome: weighttrimmedmeandiffnm. Running variable: distancemean7987_running.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} -7.178{col 33} 2.4858{col 43}-2.8876{col 52}0.004{col 60}-12.0501{col 73}-2.30599
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-4.1782{col 33} 2.4858{col 43}-1.6809{col 52}0.093{col 60} -9.0503{col 73}   .6938
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-4.1782{col 33} 2.3163{col 43}-1.8038{col 52}0.071{col 60}-8.71821{col 73} .361713
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 11
Std. Err. adjusted for clusters in distancemean_7987_20

{com}. 
. eststo m5: rdrobust weighttrimmedmeandiffnm distancemean7987_running if usct==0 & sameborder==1 & heighttrimmedpre~=. & weighttrimmedpre~=. & agetrimmedpre~=. & urban7983mean~=. & propfarm7983mean~=. & manufoutput7983mean~=. & pctblack7983mean~=. & lat_avg~=. & long_avg~=., all vce (cluster distancemean_7987_20) 
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}      2510
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     2334{col 34}      176{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      655{col 34}      129{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}   74.269{col 34}   74.269
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}  142.013{col 34}  142.013
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.523{col 34}    0.523
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}        8{col 34}        8

Outcome: weighttrimmedmeandiffnm. Running variable: distancemean7987_running.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} 3.3842{col 33} .55682{col 43}6.0777{col 52}0.000{col 60} 2.29284{col 73} 4.47555
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} 3.3098{col 33} .55682{col 43}5.9441{col 52}0.000{col 60} 2.21845{col 73} 4.40116
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} 3.3098{col 33} .70612{col 43}4.6873{col 52}0.000{col 60} 1.92584{col 73} 4.69377
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in distancemean_7987_20

{com}. eststo m6: rdrobust weighttrimmedmeandiffnm distancemean7987_running if usct==0 & sameborder==1 , all vce (cluster distancemean_7987_20) covs( agetrimmedpre heighttrimmedpre weighttrimmedpre urban7983mean manufoutput7983mean propfarm7983mean pctblack7983mean segment_2-segment_4) 
{res}
Covariate-adjusted sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}      2510
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     2334{col 34}      176{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      517{col 34}      106{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}   60.531{col 34}   60.531
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}  112.726{col 34}  112.726
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.537{col 34}    0.537
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}        6{col 34}        6

Outcome: weighttrimmedmeandiffnm. Running variable: distancemean7987_running.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} 3.2424{col 33} .27426{col 43}11.8221{col 52}0.000{col 60} 2.70481{col 73}  3.7799
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} 2.9853{col 33} .27426{col 43}10.8848{col 52}0.000{col 60} 2.44774{col 73} 3.52282
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} 2.9853{col 33} .42818{col 43}6.9720{col 52}0.000{col 60} 2.14606{col 73} 3.82451
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 10
Std. Err. adjusted for clusters in distancemean_7987_20

{com}. 
. eststo m7: rdrobust weighttrimmedmeandiffnm distancemean7987_running if usct==0 & sameborder==1 & heighttrimmedpre~=. & weighttrimmedpre~=. & agetrimmedpre~=. & urban7983mean~=. & propfarm7983mean~=. & manufoutput7983mean~=. & pctblack7983mean~=. & lat_avg~=. & long_avg~=. & preweightdiffmean~=., all vce (cluster distancemean_7987_20) 
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}      1255
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     1183{col 34}       72{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      209{col 34}       32{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}   49.347{col 34}   49.347
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   86.919{col 34}   86.919
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.568{col 34}    0.568
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}        5{col 34}        5

Outcome: weighttrimmedmeandiffnm. Running variable: distancemean7987_running.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  4.569{col 33} .73002{col 43}6.2587{col 52}0.000{col 60} 3.13815{col 73} 5.99975
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} 4.6604{col 33} .73002{col 43}6.3839{col 52}0.000{col 60} 3.22955{col 73} 6.09116
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} 4.6604{col 33} .83325{col 43}5.5930{col 52}0.000{col 60} 3.02721{col 73} 6.29349
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in distancemean_7987_20

{com}. eststo m8: rdrobust weighttrimmedmeandiffnm distancemean7987_running if usct==0 & sameborder==1 , all vce (cluster distancemean_7987_20) covs( agetrimmedpre heighttrimmedpre weighttrimmedpre urban7983mean manufoutput7983mean propfarm7983mean pctblack7983mean preweightdiffmean segment_2-segment_4) 
{res}
Covariate-adjusted sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}      1255
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     1183{col 34}       72{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      221{col 34}       38{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}   52.734{col 34}   52.734
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   84.526{col 34}   84.526
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.624{col 34}    0.624
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}        5{col 34}        5

Outcome: weighttrimmedmeandiffnm. Running variable: distancemean7987_running.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} 4.2317{col 33} .68751{col 43}6.1552{col 52}0.000{col 60} 2.88422{col 73} 5.57919
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} 3.9061{col 33} .68751{col 43}5.6815{col 52}0.000{col 60} 2.55858{col 73} 5.25355
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} 3.9061{col 33} .74674{col 43}5.2308{col 52}0.000{col 60} 2.44248{col 73} 5.36966
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 11
Std. Err. adjusted for clusters in distancemean_7987_20

{com}. 
. estout m1 m2 m3 m4 m5 m6 m7 m8 using Table8.tex, replace style(tex) collabels(none) mlabels("Model 1" "Model 2" "Model 3" "Model 4" "Model 5" "Model 6" "Model 7" "Model 8", span prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) prehead("\begin{c -(}table{c )-}[htbp!]\caption{c -(}@title{c )-}" "\begin{c -(}center{c )-}" "\scriptsize" "\begin{c -(}threeparttable{c )-}"  "\begin{c -(}tabular{c )-}{c -(}l*{c -(}@M{c )-}{c -(}rr{c )-}{c )-}" "\hline")  cells(  b(star fmt(2)) se(par fmt(2)) ) starlevels(* .10 ** .05 *** .01)  s( N h_l b_l ) 
{res}{txt}(note: file Table8.tex not found)
(output written to {browse  `"Table8.tex"'})

{com}. 
. *Table 9
. 
. eststo m1: rdrobust weighttrimmedmeandiffnm distancemean7987_running if sameside60==1 & usct==1 & sameborder==1 & heighttrimmedpre~=. & weighttrimmedpre~=. & agetrimmedpre~=. & urban7983mean~=. & propfarm7983mean~=. & manufoutput7983mean~=. & pctblack7983mean~=. & lat_avg~=. & long_avg~=., all vce (cluster distancemean_7987_20) 
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}       102
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}       54{col 34}       48{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}       29{col 34}       14{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}   63.663{col 34}   63.663
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}  108.026{col 34}  108.026
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.589{col 34}    0.589
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}        6{col 34}        6

Outcome: weighttrimmedmeandiffnm. Running variable: distancemean7987_running.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-8.3173{col 33} 3.7683{col 43}-2.2072{col 52}0.027{col 60}-15.7029{col 73}-.931652
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-9.5343{col 33} 3.7683{col 43}-2.5302{col 52}0.011{col 60}-16.9199{col 73}-2.14863
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-9.5343{col 33} 3.7224{col 43}-2.5614{col 52}0.010{col 60}-16.8299{col 73}-2.23859
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in distancemean_7987_20

{com}. eststo m2: rdrobust weighttrimmedmeandiffnm distancemean7987_running if sameside60==1 & usct==1 & sameborder==1 , all vce (cluster distancemean_7987_20) covs( agetrimmedpre heighttrimmedpre weighttrimmedpre urban7983mean manufoutput7983mean propfarm7983mean pctblack7983mean segment_2-segment_4) 
{res}
Covariate-adjusted sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}       102
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}       54{col 34}       48{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}       24{col 34}        9{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}   39.358{col 34}   39.358
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}   70.286{col 34}   70.286
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.560{col 34}    0.560
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}        4{col 34}        4

Outcome: weighttrimmedmeandiffnm. Running variable: distancemean7987_running.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}-9.3854{col 33} 2.6889{col 43}-3.4904{col 52}0.000{col 60}-14.6555{col 73}-4.11528
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res}-13.673{col 33} 2.6889{col 43}-5.0850{col 52}0.000{col 60}-18.9432{col 73}-8.40296
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res}-13.673{col 33} 1.0667{col 43}-12.8181{col 52}0.000{col 60}-15.7638{col 73}-11.5824
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 10
Std. Err. adjusted for clusters in distancemean_7987_20

{com}. 
. eststo m3: rdrobust weighttrimmedmeandiffnm distancemean7987_running if sameside60==1 & usct==0 & sameborder==1 & heighttrimmedpre~=. & weighttrimmedpre~=. & agetrimmedpre~=. & urban7983mean~=. & propfarm7983mean~=. & manufoutput7983mean~=. & pctblack7983mean~=. & lat_avg~=. & long_avg~=., all vce (cluster distancemean_7987_20) 
{res}
Sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}      2464
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     2321{col 34}      143{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      764{col 34}      119{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}   88.841{col 34}   88.841
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}  197.599{col 34}  197.599
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.450{col 34}    0.450
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}       10{col 34}        9

Outcome: weighttrimmedmeandiffnm. Running variable: distancemean7987_running.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res} 3.1807{col 33} .75577{col 43}4.2085{col 52}0.000{col 60}  1.6994{col 73} 4.66196
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} 3.1661{col 33} .75577{col 43}4.1892{col 52}0.000{col 60} 1.68482{col 73} 4.64738
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} 3.1661{col 33} .83182{col 43}3.8062{col 52}0.000{col 60} 1.53577{col 73} 4.79643
{txt}{hline 19}{c BT}{hline 60}
Std. Err. adjusted for clusters in distancemean_7987_20

{com}. eststo m4: rdrobust weighttrimmedmeandiffnm distancemean7987_running if sameside60==1 & usct==0 & sameborder==1 , all vce (cluster distancemean_7987_20) covs( agetrimmedpre heighttrimmedpre weighttrimmedpre urban7983mean manufoutput7983mean propfarm7983mean pctblack7983mean segment_2-segment_4) 
{res}
Covariate-adjusted sharp RD estimates using local polynomial regression.

{txt}{ralign 18: Cutoff c = 0}{col 19} {c |} {col 21}Left of {res}c{col 33}{txt}Right of {res}c{col 55}{txt}Number of obs = {res}      2464
{txt}{hline 19}{c +}{hline 22}{col 55}BW type       = {res}{ralign 10:mserd}
{txt}{ralign 18:Number of obs}{col 19} {c |} {col 21}{res}     2321{col 34}      143{col 55}{txt}Kernel        = {res}{ralign 10:Triangular}
{txt}{ralign 18:Eff. Number of obs}{col 19} {c |} {col 21}{res}      559{col 34}       98{col 55}{txt}VCE method    = {res}{ralign 10:Cluster}
{txt}{ralign 18:Order est. (p)}{col 19} {c |} {col 21}{res}        1{col 34}        1
{txt}{ralign 18:Order bias (q)}{col 19} {c |} {col 21}{res}        2{col 34}        2
{txt}{ralign 18:BW est. (h)}{col 19} {c |} {col 21}{res}   65.627{col 34}   65.627
{txt}{ralign 18:BW bias (b)}{col 19} {c |} {col 21}{res}  151.921{col 34}  151.921
{txt}{ralign 18:rho (h/b)}{col 19} {c |} {col 21}{res}    0.432{col 34}    0.432
{txt}{ralign 18:Number of clusters}{col 19} {c |} {col 21}{res}        8{col 34}        8

Outcome: weighttrimmedmeandiffnm. Running variable: distancemean7987_running.
{txt}{hline 19}{c TT}{hline 60}
{ralign 18:Method}{col 19} {c |} {col 24}Coef.{col 33}Std. Err.{col 46}z{col 52}P>|z|{col 61}[95% Conf. Interval]
{hline 19}{c +}{hline 60}
{ralign 18:Conventional}{col 19} {c |} {col 22}{res}  3.078{col 33} .42933{col 43}7.1693{col 52}0.000{col 60} 2.23653{col 73} 3.91946
{txt}{ralign 18:Bias-corrected}{col 19} {c |} {col 22}{res} 3.0627{col 33} .42933{col 43}7.1338{col 52}0.000{col 60} 2.22126{col 73}  3.9042
{txt}{ralign 18:Robust}{col 19} {c |} {col 22}{res} 3.0627{col 33} .45267{col 43}6.7660{col 52}0.000{col 60} 2.17552{col 73} 3.94994
{txt}{hline 19}{c BT}{hline 60}
Covariate-adjusted estimates. Additional covariates included: 10
Std. Err. adjusted for clusters in distancemean_7987_20

{com}. 
. estout m1 m2 m3 m4 using Table9.tex, replace style(tex) collabels(none) mlabels("Model 1" "Model 2" "Model 3" "Model 4", span prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) prehead("\begin{c -(}table{c )-}[htbp!]\caption{c -(}@title{c )-}" "\begin{c -(}center{c )-}" "\scriptsize" "\begin{c -(}threeparttable{c )-}"  "\begin{c -(}tabular{c )-}{c -(}l*{c -(}@M{c )-}{c -(}rr{c )-}{c )-}" "\hline")  cells(  b(star fmt(2)) se(par fmt(2)) ) starlevels(* .10 ** .05 *** .01)   s( N h_l b_l) 
{res}{txt}(note: file Table9.tex not found)
(output written to {browse  `"Table9.tex"'})

{com}. 
. *Table 10
. 
. eststo m1: areg weighttrimmed badstate_post_1876 i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct==1 & examdate>18751015 & examdate<18831015 & sameborder1879==1, cluster(distancemean_7583_20) absorb(recid)
{txt}note: 6.state_num omitted because of collinearity
{txt}note: 9.state_num omitted because of collinearity
{txt}note: 12.state_num omitted because of collinearity
{txt}note: 14.state_num omitted because of collinearity
{txt}note: 18.state_num omitted because of collinearity
{txt}note: 26.state_num omitted because of collinearity
{txt}note: 27.state_num omitted because of collinearity
{txt}note: 28.state_num omitted because of collinearity
{txt}note: 30.state_num omitted because of collinearity
{txt}note: 32.state_num omitted because of collinearity
{txt}note: 34.state_num omitted because of collinearity
{txt}note: 38.state_num omitted because of collinearity
{txt}note: 39.state_num omitted because of collinearity
{txt}note: 40.state_num omitted because of collinearity
{txt}note: 41.state_num omitted because of collinearity
{txt}note: 48.state_num omitted because of collinearity
{txt}note: 52.state_num omitted because of collinearity
{txt}note: 56.state_num omitted because of collinearity
{txt}note: 59.state_num omitted because of collinearity
{txt}note: 63.state_num omitted because of collinearity
{txt}note: 65.state_num omitted because of collinearity
{txt}note: 67.state_num omitted because of collinearity
{txt}note: 68.state_num omitted because of collinearity
{txt}note: 69.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     1,380
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}       944
{txt}{col 49}{help j_robustsingular##|_new:F(  19,     55)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.9403
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7976
{txt}{col 49}Root MSE{col 67}= {res}    8.5878

{txt}{ralign 84:(Std. Err. adjusted for {res:56} clusters in distancemean_7583_20)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     weighttrimmed{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post_1876 {c |}{col 20}{res}{space 2} 5.867609{col 32}{space 2} 5.347712{col 43}{space 1}    1.10{col 52}{space 3}0.277{col 60}{space 4}-4.849446{col 73}{space 3} 16.58466
{txt}{space 18} {c |}
{space 14}year {c |}
{space 13}1876  {c |}{col 20}{res}{space 2} 4.325504{col 32}{space 2} 5.667253{col 43}{space 1}    0.76{col 52}{space 3}0.449{col 60}{space 4}-7.031924{col 73}{space 3} 15.68293
{txt}{space 13}1877  {c |}{col 20}{res}{space 2} 3.531272{col 32}{space 2} 4.113508{col 43}{space 1}    0.86{col 52}{space 3}0.394{col 60}{space 4}-4.712382{col 73}{space 3} 11.77493
{txt}{space 13}1878  {c |}{col 20}{res}{space 2} 4.418504{col 32}{space 2} 4.729855{col 43}{space 1}    0.93{col 52}{space 3}0.354{col 60}{space 4}-5.060336{col 73}{space 3} 13.89734
{txt}{space 13}1879  {c |}{col 20}{res}{space 2} 5.438057{col 32}{space 2} 5.609524{col 43}{space 1}    0.97{col 52}{space 3}0.337{col 60}{space 4} -5.80368{col 73}{space 3}  16.6798
{txt}{space 13}1880  {c |}{col 20}{res}{space 2} .8369076{col 32}{space 2} 5.458275{col 43}{space 1}    0.15{col 52}{space 3}0.879{col 60}{space 4}-10.10172{col 73}{space 3} 11.77554
{txt}{space 13}1881  {c |}{col 20}{res}{space 2} 2.119395{col 32}{space 2} 5.542693{col 43}{space 1}    0.38{col 52}{space 3}0.704{col 60}{space 4}-8.988409{col 73}{space 3}  13.2272
{txt}{space 13}1882  {c |}{col 20}{res}{space 2} 3.517488{col 32}{space 2} 6.981856{col 43}{space 1}    0.50{col 52}{space 3}0.616{col 60}{space 4}-10.47446{col 73}{space 3} 17.50944
{txt}{space 13}1883  {c |}{col 20}{res}{space 2}  1.92974{col 32}{space 2} 6.223523{col 43}{space 1}    0.31{col 52}{space 3}0.758{col 60}{space 4}-10.54248{col 73}{space 3} 14.40196
{txt}{space 18} {c |}
{space 9}state_num {c |}
{space 16}3  {c |}{col 20}{res}{space 2} .4047874{col 32}{space 2} 5.987351{col 43}{space 1}    0.07{col 52}{space 3}0.946{col 60}{space 4}-11.59413{col 73}{space 3} 12.40371
{txt}{space 16}6  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 16}9  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}10  {c |}{col 20}{res}{space 2} -2.20298{col 32}{space 2} 6.887221{col 43}{space 1}   -0.32{col 52}{space 3}0.750{col 60}{space 4}-16.00528{col 73}{space 3} 11.59932
{txt}{space 15}11  {c |}{col 20}{res}{space 2} 5.880121{col 32}{space 2}  13.3063{col 43}{space 1}    0.44{col 52}{space 3}0.660{col 60}{space 4} -20.7863{col 73}{space 3} 32.54654
{txt}{space 15}12  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}14  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}18  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}20  {c |}{col 20}{res}{space 2}-10.08231{col 32}{space 2} 10.68865{col 43}{space 1}   -0.94{col 52}{space 3}0.350{col 60}{space 4}-31.50283{col 73}{space 3} 11.33822
{txt}{space 15}21  {c |}{col 20}{res}{space 2}  -56.123{col 32}{space 2} 12.13026{col 43}{space 1}   -4.63{col 52}{space 3}0.000{col 60}{space 4}-80.43259{col 73}{space 3} -31.8134
{txt}{space 15}25  {c |}{col 20}{res}{space 2}-10.93337{col 32}{space 2} 8.175988{col 43}{space 1}   -1.34{col 52}{space 3}0.187{col 60}{space 4}-27.31841{col 73}{space 3}  5.45168
{txt}{space 15}26  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}27  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}28  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}29  {c |}{col 20}{res}{space 2} .5411045{col 32}{space 2} 6.388899{col 43}{space 1}    0.08{col 52}{space 3}0.933{col 60}{space 4}-12.26254{col 73}{space 3} 13.34475
{txt}{space 15}30  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}31  {c |}{col 20}{res}{space 2}-63.93058{col 32}{space 2} 12.70103{col 43}{space 1}   -5.03{col 52}{space 3}0.000{col 60}{space 4}-89.38402{col 73}{space 3}-38.47715
{txt}{space 15}32  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}33  {c |}{col 20}{res}{space 2}  1.10843{col 32}{space 2}  6.15264{col 43}{space 1}    0.18{col 52}{space 3}0.858{col 60}{space 4}-11.22174{col 73}{space 3}  13.4386
{txt}{space 15}34  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}38  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}39  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}40  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}41  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}42  {c |}{col 20}{res}{space 2} 6.554114{col 32}{space 2} 8.864715{col 43}{space 1}    0.74{col 52}{space 3}0.463{col 60}{space 4}-11.21117{col 73}{space 3}  24.3194
{txt}{space 15}48  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}49  {c |}{col 20}{res}{space 2}-64.70997{col 32}{space 2} 10.49299{col 43}{space 1}   -6.17{col 52}{space 3}0.000{col 60}{space 4}-85.73839{col 73}{space 3}-43.68155
{txt}{space 15}52  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (empty)
{space 15}53  {c |}{col 20}{res}{space 2} 11.50076{col 32}{space 2} 11.32877{col 43}{space 1}    1.02{col 52}{space 3}0.314{col 60}{space 4} -11.2026{col 73}{space 3} 34.20411
{txt}{space 15}56  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}59  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}62  {c |}{col 20}{res}{space 2} 3.045221{col 32}{space 2} 6.375243{col 43}{space 1}    0.48{col 52}{space 3}0.635{col 60}{space 4}-9.731051{col 73}{space 3} 15.82149
{txt}{space 15}63  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}65  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}67  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}68  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (empty)
{space 15}69  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}70  {c |}{col 20}{res}{space 2}     .805{col 32}{space 2} 7.175909{col 43}{space 1}    0.11{col 52}{space 3}0.911{col 60}{space 4}-13.57584{col 73}{space 3} 15.18584
{txt}{space 18} {c |}
{space 8}agetrimmed {c |}{col 20}{res}{space 2} -.128826{col 32}{space 2}  .287586{col 43}{space 1}   -0.45{col 52}{space 3}0.656{col 60}{space 4}-.7051613{col 73}{space 3} .4475093
{txt}{space 5}heighttrimmed {c |}{col 20}{res}{space 2}-.1216162{col 32}{space 2} 1.512232{col 43}{space 1}   -0.08{col 52}{space 3}0.936{col 60}{space 4}-3.152197{col 73}{space 3} 2.908965
{txt}{space 6}percentblack {c |}{col 20}{res}{space 2} -2.66744{col 32}{space 2}  17.1694{col 43}{space 1}   -0.16{col 52}{space 3}0.877{col 60}{space 4}-37.07568{col 73}{space 3}  31.7408
{txt}{space 7}manufoutput {c |}{col 20}{res}{space 2}-.0037773{col 32}{space 2} .0232202{col 43}{space 1}   -0.16{col 52}{space 3}0.871{col 60}{space 4}-.0503117{col 73}{space 3} .0427571
{txt}{space 13}urban {c |}{col 20}{res}{space 2} .8978555{col 32}{space 2} 7.580676{col 43}{space 1}    0.12{col 52}{space 3}0.906{col 60}{space 4}-14.29416{col 73}{space 3} 16.08987
{txt}{space 4}proportionfarm {c |}{col 20}{res}{space 2} 3.303376{col 32}{space 2} 6.300417{col 43}{space 1}    0.52{col 52}{space 3}0.602{col 60}{space 4}-9.322941{col 73}{space 3} 15.92969
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 169.6323{col 32}{space 2} 104.4628{col 43}{space 1}    1.62{col 52}{space 3}0.110{col 60}{space 4} -39.7159{col 73}{space 3} 378.9805
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. eststo m2: areg weighttrimmed badstate_post_1877 i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct==1 & examdate>18751015 & examdate<18831015 & sameborder1879==1, cluster(distancemean_7583_20) absorb(recid)
{txt}note: 6.state_num omitted because of collinearity
{txt}note: 9.state_num omitted because of collinearity
{txt}note: 12.state_num omitted because of collinearity
{txt}note: 14.state_num omitted because of collinearity
{txt}note: 18.state_num omitted because of collinearity
{txt}note: 21.state_num omitted because of collinearity
{txt}note: 26.state_num omitted because of collinearity
{txt}note: 27.state_num omitted because of collinearity
{txt}note: 30.state_num omitted because of collinearity
{txt}note: 32.state_num omitted because of collinearity
{txt}note: 34.state_num omitted because of collinearity
{txt}note: 38.state_num omitted because of collinearity
{txt}note: 39.state_num omitted because of collinearity
{txt}note: 40.state_num omitted because of collinearity
{txt}note: 41.state_num omitted because of collinearity
{txt}note: 48.state_num omitted because of collinearity
{txt}note: 52.state_num omitted because of collinearity
{txt}note: 56.state_num omitted because of collinearity
{txt}note: 59.state_num omitted because of collinearity
{txt}note: 63.state_num omitted because of collinearity
{txt}note: 65.state_num omitted because of collinearity
{txt}note: 67.state_num omitted because of collinearity
{txt}note: 68.state_num omitted because of collinearity
{txt}note: 69.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     1,380
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}       944
{txt}{col 49}{help j_robustsingular##|_new:F(  19,     55)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.9400
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7968
{txt}{col 49}Root MSE{col 67}= {res}    8.6043

{txt}{ralign 84:(Std. Err. adjusted for {res:56} clusters in distancemean_7583_20)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     weighttrimmed{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post_1877 {c |}{col 20}{res}{space 2} .5123279{col 32}{space 2}  2.99515{col 43}{space 1}    0.17{col 52}{space 3}0.865{col 60}{space 4}-5.490087{col 73}{space 3} 6.514743
{txt}{space 18} {c |}
{space 14}year {c |}
{space 13}1876  {c |}{col 20}{res}{space 2} 5.026941{col 32}{space 2} 5.833549{col 43}{space 1}    0.86{col 52}{space 3}0.393{col 60}{space 4}-6.663752{col 73}{space 3} 16.71763
{txt}{space 13}1877  {c |}{col 20}{res}{space 2} 5.035182{col 32}{space 2} 4.552661{col 43}{space 1}    1.11{col 52}{space 3}0.274{col 60}{space 4}-4.088555{col 73}{space 3} 14.15892
{txt}{space 13}1878  {c |}{col 20}{res}{space 2}  5.97378{col 32}{space 2} 5.258635{col 43}{space 1}    1.14{col 52}{space 3}0.261{col 60}{space 4}-4.564759{col 73}{space 3} 16.51232
{txt}{space 13}1879  {c |}{col 20}{res}{space 2} 6.980732{col 32}{space 2} 5.795649{col 43}{space 1}    1.20{col 52}{space 3}0.234{col 60}{space 4}-4.634008{col 73}{space 3} 18.59547
{txt}{space 13}1880  {c |}{col 20}{res}{space 2} 2.406993{col 32}{space 2} 6.627501{col 43}{space 1}    0.36{col 52}{space 3}0.718{col 60}{space 4}-10.87482{col 73}{space 3}  15.6888
{txt}{space 13}1881  {c |}{col 20}{res}{space 2} 3.683432{col 32}{space 2}  5.63782{col 43}{space 1}    0.65{col 52}{space 3}0.516{col 60}{space 4}-7.615011{col 73}{space 3} 14.98187
{txt}{space 13}1882  {c |}{col 20}{res}{space 2}  5.02041{col 32}{space 2} 6.922271{col 43}{space 1}    0.73{col 52}{space 3}0.471{col 60}{space 4} -8.85213{col 73}{space 3} 18.89295
{txt}{space 13}1883  {c |}{col 20}{res}{space 2} 3.478349{col 32}{space 2} 6.647182{col 43}{space 1}    0.52{col 52}{space 3}0.603{col 60}{space 4}-9.842902{col 73}{space 3}  16.7996
{txt}{space 18} {c |}
{space 9}state_num {c |}
{space 16}3  {c |}{col 20}{res}{space 2} .4946377{col 32}{space 2} 6.038819{col 43}{space 1}    0.08{col 52}{space 3}0.935{col 60}{space 4}-11.60743{col 73}{space 3}  12.5967
{txt}{space 16}6  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 16}9  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}10  {c |}{col 20}{res}{space 2} 53.13111{col 32}{space 2} 5.893195{col 43}{space 1}    9.02{col 52}{space 3}0.000{col 60}{space 4} 41.32089{col 73}{space 3} 64.94134
{txt}{space 15}11  {c |}{col 20}{res}{space 2}  62.3333{col 32}{space 2} 8.588241{col 43}{space 1}    7.26{col 52}{space 3}0.000{col 60}{space 4} 45.12207{col 73}{space 3} 79.54452
{txt}{space 15}12  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}14  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}18  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}20  {c |}{col 20}{res}{space 2}-10.11849{col 32}{space 2} 11.29015{col 43}{space 1}   -0.90{col 52}{space 3}0.374{col 60}{space 4}-32.74444{col 73}{space 3} 12.50747
{txt}{space 15}21  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}25  {c |}{col 20}{res}{space 2} -11.1062{col 32}{space 2} 8.638065{col 43}{space 1}   -1.29{col 52}{space 3}0.204{col 60}{space 4}-28.41727{col 73}{space 3}  6.20487
{txt}{space 15}26  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}27  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}28  {c |}{col 20}{res}{space 2} 54.58038{col 32}{space 2} 11.88531{col 43}{space 1}    4.59{col 52}{space 3}0.000{col 60}{space 4} 30.76169{col 73}{space 3} 78.39907
{txt}{space 15}29  {c |}{col 20}{res}{space 2} .5360976{col 32}{space 2} 6.518561{col 43}{space 1}    0.08{col 52}{space 3}0.935{col 60}{space 4}-12.52739{col 73}{space 3} 13.59959
{txt}{space 15}30  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}31  {c |}{col 20}{res}{space 2}-7.912205{col 32}{space 2} 4.064487{col 43}{space 1}   -1.95{col 52}{space 3}0.057{col 60}{space 4}-16.05762{col 73}{space 3} .2332087
{txt}{space 15}32  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}33  {c |}{col 20}{res}{space 2} .8337903{col 32}{space 2} 6.462403{col 43}{space 1}    0.13{col 52}{space 3}0.898{col 60}{space 4}-12.11716{col 73}{space 3} 13.78474
{txt}{space 15}34  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}38  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}39  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}40  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}41  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}42  {c |}{col 20}{res}{space 2} 62.77355{col 32}{space 2} 5.553623{col 43}{space 1}   11.30{col 52}{space 3}0.000{col 60}{space 4} 51.64384{col 73}{space 3} 73.90326
{txt}{space 15}48  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}49  {c |}{col 20}{res}{space 2}-8.550311{col 32}{space 2} 2.853385{col 43}{space 1}   -3.00{col 52}{space 3}0.004{col 60}{space 4}-14.26862{col 73}{space 3}   -2.832
{txt}{space 15}52  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (empty)
{space 15}53  {c |}{col 20}{res}{space 2} 67.81394{col 32}{space 2} 3.221258{col 43}{space 1}   21.05{col 52}{space 3}0.000{col 60}{space 4} 61.35839{col 73}{space 3} 74.26948
{txt}{space 15}56  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}59  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}62  {c |}{col 20}{res}{space 2} 2.968268{col 32}{space 2} 6.415638{col 43}{space 1}    0.46{col 52}{space 3}0.645{col 60}{space 4}-9.888957{col 73}{space 3} 15.82549
{txt}{space 15}63  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}65  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}67  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}68  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (empty)
{space 15}69  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}70  {c |}{col 20}{res}{space 2} .6932204{col 32}{space 2} 7.649725{col 43}{space 1}    0.09{col 52}{space 3}0.928{col 60}{space 4}-14.63717{col 73}{space 3} 16.02361
{txt}{space 18} {c |}
{space 8}agetrimmed {c |}{col 20}{res}{space 2}-.1246927{col 32}{space 2} .2878538{col 43}{space 1}   -0.43{col 52}{space 3}0.667{col 60}{space 4}-.7015646{col 73}{space 3} .4521792
{txt}{space 5}heighttrimmed {c |}{col 20}{res}{space 2}-.1406528{col 32}{space 2}  1.52463{col 43}{space 1}   -0.09{col 52}{space 3}0.927{col 60}{space 4}-3.196079{col 73}{space 3} 2.914774
{txt}{space 6}percentblack {c |}{col 20}{res}{space 2}-2.765827{col 32}{space 2}  17.5755{col 43}{space 1}   -0.16{col 52}{space 3}0.876{col 60}{space 4}-37.98792{col 73}{space 3} 32.45627
{txt}{space 7}manufoutput {c |}{col 20}{res}{space 2}-.0040033{col 32}{space 2} .0234316{col 43}{space 1}   -0.17{col 52}{space 3}0.865{col 60}{space 4}-.0509613{col 73}{space 3} .0429548
{txt}{space 13}urban {c |}{col 20}{res}{space 2} .7685702{col 32}{space 2} 7.675556{col 43}{space 1}    0.10{col 52}{space 3}0.921{col 60}{space 4}-14.61359{col 73}{space 3} 16.15073
{txt}{space 4}proportionfarm {c |}{col 20}{res}{space 2} 3.639655{col 32}{space 2} 6.604668{col 43}{space 1}    0.55{col 52}{space 3}0.584{col 60}{space 4}-9.596396{col 73}{space 3} 16.87571
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 143.8963{col 32}{space 2} 110.6482{col 43}{space 1}    1.30{col 52}{space 3}0.199{col 60}{space 4}-77.84763{col 73}{space 3} 365.6402
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. eststo m3: areg weighttrimmed badstate_post_1878 i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct==1 & examdate>18751015 & examdate<18831015 & sameborder1879==1, cluster(distancemean_7583_20) absorb(recid)
{txt}note: 6.state_num omitted because of collinearity
{txt}note: 9.state_num omitted because of collinearity
{txt}note: 12.state_num omitted because of collinearity
{txt}note: 14.state_num omitted because of collinearity
{txt}note: 18.state_num omitted because of collinearity
{txt}note: 21.state_num omitted because of collinearity
{txt}note: 26.state_num omitted because of collinearity
{txt}note: 27.state_num omitted because of collinearity
{txt}note: 30.state_num omitted because of collinearity
{txt}note: 32.state_num omitted because of collinearity
{txt}note: 34.state_num omitted because of collinearity
{txt}note: 38.state_num omitted because of collinearity
{txt}note: 39.state_num omitted because of collinearity
{txt}note: 40.state_num omitted because of collinearity
{txt}note: 41.state_num omitted because of collinearity
{txt}note: 48.state_num omitted because of collinearity
{txt}note: 52.state_num omitted because of collinearity
{txt}note: 56.state_num omitted because of collinearity
{txt}note: 59.state_num omitted because of collinearity
{txt}note: 63.state_num omitted because of collinearity
{txt}note: 65.state_num omitted because of collinearity
{txt}note: 67.state_num omitted because of collinearity
{txt}note: 68.state_num omitted because of collinearity
{txt}note: 69.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     1,380
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}       944
{txt}{col 49}{help j_robustsingular##|_new:F(  19,     55)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.9400
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7968
{txt}{col 49}Root MSE{col 67}= {res}    8.6047

{txt}{ralign 84:(Std. Err. adjusted for {res:56} clusters in distancemean_7583_20)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     weighttrimmed{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post_1878 {c |}{col 20}{res}{space 2} .0366443{col 32}{space 2} 3.460026{col 43}{space 1}    0.01{col 52}{space 3}0.992{col 60}{space 4}-6.897402{col 73}{space 3} 6.970691
{txt}{space 18} {c |}
{space 14}year {c |}
{space 13}1876  {c |}{col 20}{res}{space 2} 5.088432{col 32}{space 2} 5.991544{col 43}{space 1}    0.85{col 52}{space 3}0.399{col 60}{space 4} -6.91889{col 73}{space 3} 17.09575
{txt}{space 13}1877  {c |}{col 20}{res}{space 2} 5.113081{col 32}{space 2} 4.678183{col 43}{space 1}    1.09{col 52}{space 3}0.279{col 60}{space 4}-4.262207{col 73}{space 3} 14.48837
{txt}{space 13}1878  {c |}{col 20}{res}{space 2} 6.128624{col 32}{space 2} 5.526374{col 43}{space 1}    1.11{col 52}{space 3}0.272{col 60}{space 4}-4.946477{col 73}{space 3} 17.20373
{txt}{space 13}1879  {c |}{col 20}{res}{space 2} 7.139139{col 32}{space 2} 6.000461{col 43}{space 1}    1.19{col 52}{space 3}0.239{col 60}{space 4}-4.886054{col 73}{space 3} 19.16433
{txt}{space 13}1880  {c |}{col 20}{res}{space 2} 2.576718{col 32}{space 2} 7.056308{col 43}{space 1}    0.37{col 52}{space 3}0.716{col 60}{space 4}-11.56444{col 73}{space 3} 16.71787
{txt}{space 13}1881  {c |}{col 20}{res}{space 2} 3.837617{col 32}{space 2} 5.906174{col 43}{space 1}    0.65{col 52}{space 3}0.519{col 60}{space 4}-7.998621{col 73}{space 3} 15.67386
{txt}{space 13}1882  {c |}{col 20}{res}{space 2} 5.176331{col 32}{space 2} 7.138981{col 43}{space 1}    0.73{col 52}{space 3}0.471{col 60}{space 4}-9.130507{col 73}{space 3} 19.48317
{txt}{space 13}1883  {c |}{col 20}{res}{space 2} 3.638334{col 32}{space 2} 6.922248{col 43}{space 1}    0.53{col 52}{space 3}0.601{col 60}{space 4}-10.23416{col 73}{space 3} 17.51083
{txt}{space 18} {c |}
{space 9}state_num {c |}
{space 16}3  {c |}{col 20}{res}{space 2} .5070722{col 32}{space 2} 6.045763{col 43}{space 1}    0.08{col 52}{space 3}0.933{col 60}{space 4}-11.60891{col 73}{space 3} 12.62305
{txt}{space 16}6  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 16}9  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}10  {c |}{col 20}{res}{space 2} 53.11427{col 32}{space 2} 5.879166{col 43}{space 1}    9.03{col 52}{space 3}0.000{col 60}{space 4} 41.33216{col 73}{space 3} 64.89639
{txt}{space 15}11  {c |}{col 20}{res}{space 2} 62.46935{col 32}{space 2} 8.619311{col 43}{space 1}    7.25{col 52}{space 3}0.000{col 60}{space 4} 45.19586{col 73}{space 3} 79.74283
{txt}{space 15}12  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}14  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}18  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}20  {c |}{col 20}{res}{space 2}-9.971713{col 32}{space 2} 11.64281{col 43}{space 1}   -0.86{col 52}{space 3}0.395{col 60}{space 4}-33.30443{col 73}{space 3}   13.361
{txt}{space 15}21  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}25  {c |}{col 20}{res}{space 2} -10.9944{col 32}{space 2}  8.86754{col 43}{space 1}   -1.24{col 52}{space 3}0.220{col 60}{space 4}-28.76535{col 73}{space 3} 6.776549
{txt}{space 15}26  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}27  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}28  {c |}{col 20}{res}{space 2} 54.46842{col 32}{space 2} 11.81156{col 43}{space 1}    4.61{col 52}{space 3}0.000{col 60}{space 4} 30.79753{col 73}{space 3} 78.13931
{txt}{space 15}29  {c |}{col 20}{res}{space 2} .6023406{col 32}{space 2} 6.391232{col 43}{space 1}    0.09{col 52}{space 3}0.925{col 60}{space 4}-12.20598{col 73}{space 3} 13.41066
{txt}{space 15}30  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}31  {c |}{col 20}{res}{space 2}-7.889742{col 32}{space 2} 4.075406{col 43}{space 1}   -1.94{col 52}{space 3}0.058{col 60}{space 4}-16.05704{col 73}{space 3} .2775541
{txt}{space 15}32  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}33  {c |}{col 20}{res}{space 2} .9942632{col 32}{space 2} 7.227612{col 43}{space 1}    0.14{col 52}{space 3}0.891{col 60}{space 4} -13.4902{col 73}{space 3} 15.47872
{txt}{space 15}34  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}38  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}39  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}40  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}41  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}42  {c |}{col 20}{res}{space 2} 62.85943{col 32}{space 2} 5.570019{col 43}{space 1}   11.29{col 52}{space 3}0.000{col 60}{space 4} 51.69686{col 73}{space 3}   74.022
{txt}{space 15}48  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}49  {c |}{col 20}{res}{space 2}-8.535603{col 32}{space 2} 2.894447{col 43}{space 1}   -2.95{col 52}{space 3}0.005{col 60}{space 4} -14.3362{col 73}{space 3}-2.735001
{txt}{space 15}52  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (empty)
{space 15}53  {c |}{col 20}{res}{space 2} 67.90863{col 32}{space 2} 3.325463{col 43}{space 1}   20.42{col 52}{space 3}0.000{col 60}{space 4} 61.24425{col 73}{space 3}   74.573
{txt}{space 15}56  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}59  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}62  {c |}{col 20}{res}{space 2} 2.965505{col 32}{space 2} 6.422263{col 43}{space 1}    0.46{col 52}{space 3}0.646{col 60}{space 4}-9.904998{col 73}{space 3} 15.83601
{txt}{space 15}63  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}65  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}67  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}68  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (empty)
{space 15}69  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}70  {c |}{col 20}{res}{space 2} .8966994{col 32}{space 2} 7.193661{col 43}{space 1}    0.12{col 52}{space 3}0.901{col 60}{space 4}-13.51972{col 73}{space 3} 15.31312
{txt}{space 18} {c |}
{space 8}agetrimmed {c |}{col 20}{res}{space 2}-.1235719{col 32}{space 2} .2880174{col 43}{space 1}   -0.43{col 52}{space 3}0.670{col 60}{space 4}-.7007717{col 73}{space 3} .4536279
{txt}{space 5}heighttrimmed {c |}{col 20}{res}{space 2}-.1415533{col 32}{space 2} 1.527495{col 43}{space 1}   -0.09{col 52}{space 3}0.927{col 60}{space 4}-3.202723{col 73}{space 3} 2.919616
{txt}{space 6}percentblack {c |}{col 20}{res}{space 2}-2.814041{col 32}{space 2} 17.65819{col 43}{space 1}   -0.16{col 52}{space 3}0.874{col 60}{space 4}-38.20185{col 73}{space 3} 32.57376
{txt}{space 7}manufoutput {c |}{col 20}{res}{space 2}-.0040758{col 32}{space 2} .0234064{col 43}{space 1}   -0.17{col 52}{space 3}0.862{col 60}{space 4}-.0509832{col 73}{space 3} .0428317
{txt}{space 13}urban {c |}{col 20}{res}{space 2} .7483907{col 32}{space 2} 7.717094{col 43}{space 1}    0.10{col 52}{space 3}0.923{col 60}{space 4}-14.71701{col 73}{space 3} 16.21379
{txt}{space 4}proportionfarm {c |}{col 20}{res}{space 2} 3.623767{col 32}{space 2} 6.665319{col 43}{space 1}    0.54{col 52}{space 3}0.589{col 60}{space 4} -9.73383{col 73}{space 3} 16.98136
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 143.8811{col 32}{space 2} 110.8833{col 43}{space 1}    1.30{col 52}{space 3}0.200{col 60}{space 4}-78.33406{col 73}{space 3} 366.0963
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. eststo m4: areg weighttrimmed badstate_post_1879 i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct==1 & examdate>18751015 & examdate<18831015 & sameborder1879==1, cluster(distancemean_7583_20) absorb(recid)
{txt}note: 6.state_num omitted because of collinearity
{txt}note: 9.state_num omitted because of collinearity
{txt}note: 12.state_num omitted because of collinearity
{txt}note: 14.state_num omitted because of collinearity
{txt}note: 18.state_num omitted because of collinearity
{txt}note: 26.state_num omitted because of collinearity
{txt}note: 27.state_num omitted because of collinearity
{txt}note: 28.state_num omitted because of collinearity
{txt}note: 30.state_num omitted because of collinearity
{txt}note: 32.state_num omitted because of collinearity
{txt}note: 34.state_num omitted because of collinearity
{txt}note: 38.state_num omitted because of collinearity
{txt}note: 39.state_num omitted because of collinearity
{txt}note: 40.state_num omitted because of collinearity
{txt}note: 41.state_num omitted because of collinearity
{txt}note: 48.state_num omitted because of collinearity
{txt}note: 52.state_num omitted because of collinearity
{txt}note: 56.state_num omitted because of collinearity
{txt}note: 59.state_num omitted because of collinearity
{txt}note: 63.state_num omitted because of collinearity
{txt}note: 65.state_num omitted because of collinearity
{txt}note: 67.state_num omitted because of collinearity
{txt}note: 68.state_num omitted because of collinearity
{txt}note: 69.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     1,380
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}       944
{txt}{col 49}{help j_robustsingular##|_new:F(  19,     55)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.9400
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7969
{txt}{col 49}Root MSE{col 67}= {res}    8.6038

{txt}{ralign 84:(Std. Err. adjusted for {res:56} clusters in distancemean_7583_20)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     weighttrimmed{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post_1879 {c |}{col 20}{res}{space 2} .7468124{col 32}{space 2} 3.266488{col 43}{space 1}    0.23{col 52}{space 3}0.820{col 60}{space 4}-5.799375{col 73}{space 3}    7.293
{txt}{space 18} {c |}
{space 14}year {c |}
{space 13}1876  {c |}{col 20}{res}{space 2} 4.981946{col 32}{space 2} 5.943759{col 43}{space 1}    0.84{col 52}{space 3}0.406{col 60}{space 4}-6.929614{col 73}{space 3} 16.89351
{txt}{space 13}1877  {c |}{col 20}{res}{space 2} 4.999592{col 32}{space 2} 4.652612{col 43}{space 1}    1.07{col 52}{space 3}0.287{col 60}{space 4} -4.32445{col 73}{space 3} 14.32364
{txt}{space 13}1878  {c |}{col 20}{res}{space 2} 6.007512{col 32}{space 2} 5.409467{col 43}{space 1}    1.11{col 52}{space 3}0.272{col 60}{space 4}-4.833302{col 73}{space 3} 16.84833
{txt}{space 13}1879  {c |}{col 20}{res}{space 2} 7.034031{col 32}{space 2} 5.832555{col 43}{space 1}    1.21{col 52}{space 3}0.233{col 60}{space 4}-4.654671{col 73}{space 3} 18.72273
{txt}{space 13}1880  {c |}{col 20}{res}{space 2} 2.304207{col 32}{space 2} 6.914669{col 43}{space 1}    0.33{col 52}{space 3}0.740{col 60}{space 4} -11.5531{col 73}{space 3} 16.16151
{txt}{space 13}1881  {c |}{col 20}{res}{space 2} 3.590559{col 32}{space 2} 5.799428{col 43}{space 1}    0.62{col 52}{space 3}0.538{col 60}{space 4}-8.031754{col 73}{space 3} 15.21287
{txt}{space 13}1882  {c |}{col 20}{res}{space 2} 4.922474{col 32}{space 2} 6.988675{col 43}{space 1}    0.70{col 52}{space 3}0.484{col 60}{space 4}-9.083144{col 73}{space 3} 18.92809
{txt}{space 13}1883  {c |}{col 20}{res}{space 2} 3.383817{col 32}{space 2} 6.812721{col 43}{space 1}    0.50{col 52}{space 3}0.621{col 60}{space 4}-10.26918{col 73}{space 3} 17.03682
{txt}{space 18} {c |}
{space 9}state_num {c |}
{space 16}3  {c |}{col 20}{res}{space 2} .4828246{col 32}{space 2} 6.028022{col 43}{space 1}    0.08{col 52}{space 3}0.936{col 60}{space 4} -11.5976{col 73}{space 3} 12.56325
{txt}{space 16}6  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 16}9  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}10  {c |}{col 20}{res}{space 2}-1.489519{col 32}{space 2} 6.649681{col 43}{space 1}   -0.22{col 52}{space 3}0.824{col 60}{space 4}-14.81578{col 73}{space 3} 11.83674
{txt}{space 15}11  {c |}{col 20}{res}{space 2} 7.745925{col 32}{space 2}  13.2157{col 43}{space 1}    0.59{col 52}{space 3}0.560{col 60}{space 4}-18.73894{col 73}{space 3} 34.23079
{txt}{space 15}12  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}14  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}18  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}20  {c |}{col 20}{res}{space 2}-10.30622{col 32}{space 2} 11.95053{col 43}{space 1}   -0.86{col 52}{space 3}0.392{col 60}{space 4}-34.25561{col 73}{space 3} 13.64317
{txt}{space 15}21  {c |}{col 20}{res}{space 2}-54.65053{col 32}{space 2}  11.7358{col 43}{space 1}   -4.66{col 52}{space 3}0.000{col 60}{space 4} -78.1696{col 73}{space 3}-31.13146
{txt}{space 15}25  {c |}{col 20}{res}{space 2} -11.2135{col 32}{space 2}  8.91799{col 43}{space 1}   -1.26{col 52}{space 3}0.214{col 60}{space 4}-29.08555{col 73}{space 3} 6.658553
{txt}{space 15}26  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}27  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}28  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}29  {c |}{col 20}{res}{space 2} .5207955{col 32}{space 2} 6.388167{col 43}{space 1}    0.08{col 52}{space 3}0.935{col 60}{space 4}-12.28138{col 73}{space 3} 13.32297
{txt}{space 15}30  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}31  {c |}{col 20}{res}{space 2}-62.61062{col 32}{space 2} 12.38615{col 43}{space 1}   -5.05{col 52}{space 3}0.000{col 60}{space 4}-87.43301{col 73}{space 3}-37.78823
{txt}{space 15}32  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}33  {c |}{col 20}{res}{space 2} .3685369{col 32}{space 2} 7.371744{col 43}{space 1}    0.05{col 52}{space 3}0.960{col 60}{space 4}-14.40477{col 73}{space 3} 15.14184
{txt}{space 15}34  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}38  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}39  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}40  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}41  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}42  {c |}{col 20}{res}{space 2} 8.241437{col 32}{space 2} 8.328522{col 43}{space 1}    0.99{col 52}{space 3}0.327{col 60}{space 4}-8.449295{col 73}{space 3} 24.93217
{txt}{space 15}48  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}49  {c |}{col 20}{res}{space 2}-63.22425{col 32}{space 2} 10.19217{col 43}{space 1}   -6.20{col 52}{space 3}0.000{col 60}{space 4}-83.64982{col 73}{space 3}-42.79868
{txt}{space 15}52  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (empty)
{space 15}53  {c |}{col 20}{res}{space 2} 13.23687{col 32}{space 2}  11.0898{col 43}{space 1}    1.19{col 52}{space 3}0.238{col 60}{space 4}-8.987578{col 73}{space 3} 35.46132
{txt}{space 15}56  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}59  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}62  {c |}{col 20}{res}{space 2} 2.950235{col 32}{space 2} 6.386884{col 43}{space 1}    0.46{col 52}{space 3}0.646{col 60}{space 4}-9.849367{col 73}{space 3} 15.74984
{txt}{space 15}63  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}65  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}67  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}68  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (empty)
{space 15}69  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}70  {c |}{col 20}{res}{space 2} .6140876{col 32}{space 2} 7.282382{col 43}{space 1}    0.08{col 52}{space 3}0.933{col 60}{space 4}-13.98013{col 73}{space 3} 15.20831
{txt}{space 18} {c |}
{space 8}agetrimmed {c |}{col 20}{res}{space 2}-.1248821{col 32}{space 2} .2892041{col 43}{space 1}   -0.43{col 52}{space 3}0.668{col 60}{space 4}-.7044601{col 73}{space 3} .4546959
{txt}{space 5}heighttrimmed {c |}{col 20}{res}{space 2}-.1421404{col 32}{space 2} 1.524074{col 43}{space 1}   -0.09{col 52}{space 3}0.926{col 60}{space 4}-3.196452{col 73}{space 3} 2.912172
{txt}{space 6}percentblack {c |}{col 20}{res}{space 2}-2.733803{col 32}{space 2} 17.57048{col 43}{space 1}   -0.16{col 52}{space 3}0.877{col 60}{space 4}-37.94583{col 73}{space 3} 32.47822
{txt}{space 7}manufoutput {c |}{col 20}{res}{space 2}-.0039003{col 32}{space 2} .0236113{col 43}{space 1}   -0.17{col 52}{space 3}0.869{col 60}{space 4}-.0512184{col 73}{space 3} .0434178
{txt}{space 13}urban {c |}{col 20}{res}{space 2} .8209756{col 32}{space 2} 7.745889{col 43}{space 1}    0.11{col 52}{space 3}0.916{col 60}{space 4}-14.70213{col 73}{space 3} 16.34408
{txt}{space 4}proportionfarm {c |}{col 20}{res}{space 2} 3.687172{col 32}{space 2} 6.726909{col 43}{space 1}    0.55{col 52}{space 3}0.586{col 60}{space 4}-9.793855{col 73}{space 3}  17.1682
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 170.0777{col 32}{space 2} 106.0033{col 43}{space 1}    1.60{col 52}{space 3}0.114{col 60}{space 4}-42.35763{col 73}{space 3}  382.513
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. eststo m5: areg weighttrimmed badstate_post_1880 i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct==1 & examdate>18751015 & examdate<18831015 & sameborder1879==1, cluster(distancemean_7583_20) absorb(recid)
{txt}note: 6.state_num omitted because of collinearity
{txt}note: 9.state_num omitted because of collinearity
{txt}note: 12.state_num omitted because of collinearity
{txt}note: 14.state_num omitted because of collinearity
{txt}note: 18.state_num omitted because of collinearity
{txt}note: 21.state_num omitted because of collinearity
{txt}note: 26.state_num omitted because of collinearity
{txt}note: 27.state_num omitted because of collinearity
{txt}note: 30.state_num omitted because of collinearity
{txt}note: 32.state_num omitted because of collinearity
{txt}note: 34.state_num omitted because of collinearity
{txt}note: 38.state_num omitted because of collinearity
{txt}note: 39.state_num omitted because of collinearity
{txt}note: 40.state_num omitted because of collinearity
{txt}note: 41.state_num omitted because of collinearity
{txt}note: 48.state_num omitted because of collinearity
{txt}note: 52.state_num omitted because of collinearity
{txt}note: 56.state_num omitted because of collinearity
{txt}note: 59.state_num omitted because of collinearity
{txt}note: 63.state_num omitted because of collinearity
{txt}note: 65.state_num omitted because of collinearity
{txt}note: 67.state_num omitted because of collinearity
{txt}note: 68.state_num omitted because of collinearity
{txt}note: 69.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     1,380
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}       944
{txt}{col 49}{help j_robustsingular##|_new:F(  19,     55)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.9402
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7973
{txt}{col 49}Root MSE{col 67}= {res}    8.5947

{txt}{ralign 84:(Std. Err. adjusted for {res:56} clusters in distancemean_7583_20)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     weighttrimmed{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post_1880 {c |}{col 20}{res}{space 2}-2.589019{col 32}{space 2}   3.1003{col 43}{space 1}   -0.84{col 52}{space 3}0.407{col 60}{space 4} -8.80216{col 73}{space 3} 3.624121
{txt}{space 18} {c |}
{space 14}year {c |}
{space 13}1876  {c |}{col 20}{res}{space 2} 5.470258{col 32}{space 2}  5.90487{col 43}{space 1}    0.93{col 52}{space 3}0.358{col 60}{space 4}-6.363366{col 73}{space 3} 17.30388
{txt}{space 13}1877  {c |}{col 20}{res}{space 2} 5.451962{col 32}{space 2}  4.55297{col 43}{space 1}    1.20{col 52}{space 3}0.236{col 60}{space 4}-3.672394{col 73}{space 3} 14.57632
{txt}{space 13}1878  {c |}{col 20}{res}{space 2} 6.550214{col 32}{space 2} 5.249443{col 43}{space 1}    1.25{col 52}{space 3}0.217{col 60}{space 4}-3.969905{col 73}{space 3} 17.07033
{txt}{space 13}1879  {c |}{col 20}{res}{space 2} 7.367519{col 32}{space 2} 5.726104{col 43}{space 1}    1.29{col 52}{space 3}0.204{col 60}{space 4}-4.107849{col 73}{space 3} 18.84289
{txt}{space 13}1880  {c |}{col 20}{res}{space 2} 2.979457{col 32}{space 2} 6.520033{col 43}{space 1}    0.46{col 52}{space 3}0.649{col 60}{space 4}-10.08698{col 73}{space 3}  16.0459
{txt}{space 13}1881  {c |}{col 20}{res}{space 2} 4.671897{col 32}{space 2} 6.107183{col 43}{space 1}    0.76{col 52}{space 3}0.448{col 60}{space 4} -7.56717{col 73}{space 3} 16.91096
{txt}{space 13}1882  {c |}{col 20}{res}{space 2} 6.037007{col 32}{space 2} 7.522542{col 43}{space 1}    0.80{col 52}{space 3}0.426{col 60}{space 4}-9.038503{col 73}{space 3} 21.11252
{txt}{space 13}1883  {c |}{col 20}{res}{space 2} 4.482645{col 32}{space 2} 7.102145{col 43}{space 1}    0.63{col 52}{space 3}0.531{col 60}{space 4}-9.750371{col 73}{space 3} 18.71566
{txt}{space 18} {c |}
{space 9}state_num {c |}
{space 16}3  {c |}{col 20}{res}{space 2} .4746073{col 32}{space 2} 6.047933{col 43}{space 1}    0.08{col 52}{space 3}0.938{col 60}{space 4}-11.64572{col 73}{space 3} 12.59494
{txt}{space 16}6  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 16}9  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}10  {c |}{col 20}{res}{space 2} 52.67234{col 32}{space 2} 6.176473{col 43}{space 1}    8.53{col 52}{space 3}0.000{col 60}{space 4} 40.29441{col 73}{space 3} 65.05027
{txt}{space 15}11  {c |}{col 20}{res}{space 2} 61.90258{col 32}{space 2} 8.225423{col 43}{space 1}    7.53{col 52}{space 3}0.000{col 60}{space 4} 45.41847{col 73}{space 3}  78.3867
{txt}{space 15}12  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}14  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}18  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}20  {c |}{col 20}{res}{space 2}-8.753777{col 32}{space 2}  11.2189{col 43}{space 1}   -0.78{col 52}{space 3}0.439{col 60}{space 4}-31.23695{col 73}{space 3} 13.72939
{txt}{space 15}21  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}25  {c |}{col 20}{res}{space 2}-10.15497{col 32}{space 2} 8.763611{col 43}{space 1}   -1.16{col 52}{space 3}0.252{col 60}{space 4}-27.71764{col 73}{space 3} 7.407694
{txt}{space 15}26  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}27  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}28  {c |}{col 20}{res}{space 2} 53.54127{col 32}{space 2} 12.49851{col 43}{space 1}    4.28{col 52}{space 3}0.000{col 60}{space 4} 28.49371{col 73}{space 3} 78.58884
{txt}{space 15}29  {c |}{col 20}{res}{space 2}  .532921{col 32}{space 2} 5.886779{col 43}{space 1}    0.09{col 52}{space 3}0.928{col 60}{space 4}-11.26445{col 73}{space 3} 12.33029
{txt}{space 15}30  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}31  {c |}{col 20}{res}{space 2}-8.052403{col 32}{space 2} 3.856051{col 43}{space 1}   -2.09{col 52}{space 3}0.041{col 60}{space 4} -15.7801{col 73}{space 3}-.3247027
{txt}{space 15}32  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}33  {c |}{col 20}{res}{space 2} 3.217246{col 32}{space 2}  6.81718{col 43}{space 1}    0.47{col 52}{space 3}0.639{col 60}{space 4}-10.44469{col 73}{space 3} 16.87918
{txt}{space 15}34  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}38  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}39  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}40  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}41  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}42  {c |}{col 20}{res}{space 2} 62.27267{col 32}{space 2} 6.114564{col 43}{space 1}   10.18{col 52}{space 3}0.000{col 60}{space 4} 50.01881{col 73}{space 3} 74.52653
{txt}{space 15}48  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}49  {c |}{col 20}{res}{space 2}-8.904725{col 32}{space 2} 2.991034{col 43}{space 1}   -2.98{col 52}{space 3}0.004{col 60}{space 4}-14.89889{col 73}{space 3} -2.91056
{txt}{space 15}52  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (empty)
{space 15}53  {c |}{col 20}{res}{space 2} 67.36325{col 32}{space 2} 3.165536{col 43}{space 1}   21.28{col 52}{space 3}0.000{col 60}{space 4} 61.01938{col 73}{space 3} 73.70713
{txt}{space 15}56  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}59  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}62  {c |}{col 20}{res}{space 2} 3.086541{col 32}{space 2} 6.448085{col 43}{space 1}    0.48{col 52}{space 3}0.634{col 60}{space 4} -9.83571{col 73}{space 3} 16.00879
{txt}{space 15}63  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}65  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}67  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}68  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (empty)
{space 15}69  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}70  {c |}{col 20}{res}{space 2} 2.225346{col 32}{space 2}  6.78443{col 43}{space 1}    0.33{col 52}{space 3}0.744{col 60}{space 4}-11.37096{col 73}{space 3} 15.82165
{txt}{space 18} {c |}
{space 8}agetrimmed {c |}{col 20}{res}{space 2}-.1196126{col 32}{space 2} .2839776{col 43}{space 1}   -0.42{col 52}{space 3}0.675{col 60}{space 4}-.6887165{col 73}{space 3} .4494912
{txt}{space 5}heighttrimmed {c |}{col 20}{res}{space 2}-.1470198{col 32}{space 2} 1.528744{col 43}{space 1}   -0.10{col 52}{space 3}0.924{col 60}{space 4}-3.210691{col 73}{space 3} 2.916651
{txt}{space 6}percentblack {c |}{col 20}{res}{space 2} -2.67187{col 32}{space 2} 17.07561{col 43}{space 1}   -0.16{col 52}{space 3}0.876{col 60}{space 4}-36.89216{col 73}{space 3} 31.54842
{txt}{space 7}manufoutput {c |}{col 20}{res}{space 2}-.0046654{col 32}{space 2} .0234167{col 43}{space 1}   -0.20{col 52}{space 3}0.843{col 60}{space 4}-.0515934{col 73}{space 3} .0422627
{txt}{space 13}urban {c |}{col 20}{res}{space 2} .5747995{col 32}{space 2} 7.651167{col 43}{space 1}    0.08{col 52}{space 3}0.940{col 60}{space 4}-14.75848{col 73}{space 3} 15.90808
{txt}{space 4}proportionfarm {c |}{col 20}{res}{space 2} 3.269551{col 32}{space 2} 6.596868{col 43}{space 1}    0.50{col 52}{space 3}0.622{col 60}{space 4}-9.950867{col 73}{space 3} 16.48997
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 144.4177{col 32}{space 2} 111.0185{col 43}{space 1}    1.30{col 52}{space 3}0.199{col 60}{space 4}-78.06828{col 73}{space 3} 366.9037
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. eststo m6: areg weighttrimmed badstate_post_1881 i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct==1 & examdate>18751015 & examdate<18831015 & sameborder1879==1, cluster(distancemean_7583_20) absorb(recid)
{txt}note: 6.state_num omitted because of collinearity
{txt}note: 9.state_num omitted because of collinearity
{txt}note: 12.state_num omitted because of collinearity
{txt}note: 14.state_num omitted because of collinearity
{txt}note: 18.state_num omitted because of collinearity
{txt}note: 26.state_num omitted because of collinearity
{txt}note: 27.state_num omitted because of collinearity
{txt}note: 28.state_num omitted because of collinearity
{txt}note: 30.state_num omitted because of collinearity
{txt}note: 32.state_num omitted because of collinearity
{txt}note: 34.state_num omitted because of collinearity
{txt}note: 38.state_num omitted because of collinearity
{txt}note: 39.state_num omitted because of collinearity
{txt}note: 40.state_num omitted because of collinearity
{txt}note: 41.state_num omitted because of collinearity
{txt}note: 48.state_num omitted because of collinearity
{txt}note: 52.state_num omitted because of collinearity
{txt}note: 56.state_num omitted because of collinearity
{txt}note: 59.state_num omitted because of collinearity
{txt}note: 63.state_num omitted because of collinearity
{txt}note: 65.state_num omitted because of collinearity
{txt}note: 67.state_num omitted because of collinearity
{txt}note: 68.state_num omitted because of collinearity
{txt}note: 69.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     1,380
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}       944
{txt}{col 49}{help j_robustsingular##|_new:F(  19,     55)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.9403
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7978
{txt}{col 49}Root MSE{col 67}= {res}    8.5833

{txt}{ralign 84:(Std. Err. adjusted for {res:56} clusters in distancemean_7583_20)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     weighttrimmed{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post_1881 {c |}{col 20}{res}{space 2}-2.913696{col 32}{space 2} 3.394944{col 43}{space 1}   -0.86{col 52}{space 3}0.394{col 60}{space 4}-9.717315{col 73}{space 3} 3.889923
{txt}{space 18} {c |}
{space 14}year {c |}
{space 13}1876  {c |}{col 20}{res}{space 2} 5.708425{col 32}{space 2} 6.026833{col 43}{space 1}    0.95{col 52}{space 3}0.348{col 60}{space 4}-6.369619{col 73}{space 3} 17.78647
{txt}{space 13}1877  {c |}{col 20}{res}{space 2} 5.650437{col 32}{space 2} 4.641226{col 43}{space 1}    1.22{col 52}{space 3}0.229{col 60}{space 4}-3.650787{col 73}{space 3} 14.95166
{txt}{space 13}1878  {c |}{col 20}{res}{space 2} 6.711321{col 32}{space 2} 5.331094{col 43}{space 1}    1.26{col 52}{space 3}0.213{col 60}{space 4}-3.972431{col 73}{space 3} 17.39507
{txt}{space 13}1879  {c |}{col 20}{res}{space 2} 7.723538{col 32}{space 2} 5.967329{col 43}{space 1}    1.29{col 52}{space 3}0.201{col 60}{space 4}-4.235257{col 73}{space 3} 19.68233
{txt}{space 13}1880  {c |}{col 20}{res}{space 2} 3.146785{col 32}{space 2} 6.603429{col 43}{space 1}    0.48{col 52}{space 3}0.636{col 60}{space 4}-10.08678{col 73}{space 3} 16.38035
{txt}{space 13}1881  {c |}{col 20}{res}{space 2} 4.460342{col 32}{space 2} 5.906723{col 43}{space 1}    0.76{col 52}{space 3}0.453{col 60}{space 4}-7.376996{col 73}{space 3} 16.29768
{txt}{space 13}1882  {c |}{col 20}{res}{space 2} 6.487682{col 32}{space 2} 8.063727{col 43}{space 1}    0.80{col 52}{space 3}0.425{col 60}{space 4}-9.672387{col 73}{space 3} 22.64775
{txt}{space 13}1883  {c |}{col 20}{res}{space 2} 4.779565{col 32}{space 2}  7.47254{col 43}{space 1}    0.64{col 52}{space 3}0.525{col 60}{space 4}-10.19574{col 73}{space 3} 19.75487
{txt}{space 18} {c |}
{space 9}state_num {c |}
{space 16}3  {c |}{col 20}{res}{space 2} .4822389{col 32}{space 2} 7.028772{col 43}{space 1}    0.07{col 52}{space 3}0.946{col 60}{space 4}-13.60374{col 73}{space 3} 14.56821
{txt}{space 16}6  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 16}9  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}10  {c |}{col 20}{res}{space 2}-.5608601{col 32}{space 2} 7.522256{col 43}{space 1}   -0.07{col 52}{space 3}0.941{col 60}{space 4} -15.6358{col 73}{space 3} 14.51408
{txt}{space 15}11  {c |}{col 20}{res}{space 2}  9.38865{col 32}{space 2} 14.40557{col 43}{space 1}    0.65{col 52}{space 3}0.517{col 60}{space 4}-19.48076{col 73}{space 3} 38.25806
{txt}{space 15}12  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}14  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}18  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}20  {c |}{col 20}{res}{space 2}-8.672953{col 32}{space 2}  10.9057{col 43}{space 1}   -0.80{col 52}{space 3}0.430{col 60}{space 4}-30.52847{col 73}{space 3} 13.18257
{txt}{space 15}21  {c |}{col 20}{res}{space 2}-53.05303{col 32}{space 2} 13.14126{col 43}{space 1}   -4.04{col 52}{space 3}0.000{col 60}{space 4}-79.38871{col 73}{space 3}-26.71736
{txt}{space 15}25  {c |}{col 20}{res}{space 2} -9.47608{col 32}{space 2} 9.288364{col 43}{space 1}   -1.02{col 52}{space 3}0.312{col 60}{space 4}-28.09038{col 73}{space 3} 9.138218
{txt}{space 15}26  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}27  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}28  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}29  {c |}{col 20}{res}{space 2} .2728729{col 32}{space 2} 6.571481{col 43}{space 1}    0.04{col 52}{space 3}0.967{col 60}{space 4}-12.89667{col 73}{space 3} 13.44242
{txt}{space 15}30  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}31  {c |}{col 20}{res}{space 2}-61.61506{col 32}{space 2} 13.04995{col 43}{space 1}   -4.72{col 52}{space 3}0.000{col 60}{space 4}-87.76775{col 73}{space 3}-35.46238
{txt}{space 15}32  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}33  {c |}{col 20}{res}{space 2} 1.018722{col 32}{space 2} 7.143308{col 43}{space 1}    0.14{col 52}{space 3}0.887{col 60}{space 4}-13.29679{col 73}{space 3} 15.33423
{txt}{space 15}34  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}38  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}39  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}40  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}41  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}42  {c |}{col 20}{res}{space 2} 9.145461{col 32}{space 2} 8.982216{col 43}{space 1}    1.02{col 52}{space 3}0.313{col 60}{space 4}-8.855302{col 73}{space 3} 27.14622
{txt}{space 15}48  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}49  {c |}{col 20}{res}{space 2}-62.02976{col 32}{space 2} 11.06584{col 43}{space 1}   -5.61{col 52}{space 3}0.000{col 60}{space 4} -84.2062{col 73}{space 3}-39.85333
{txt}{space 15}52  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (empty)
{space 15}53  {c |}{col 20}{res}{space 2} 14.37368{col 32}{space 2} 11.98197{col 43}{space 1}    1.20{col 52}{space 3}0.235{col 60}{space 4}-9.638723{col 73}{space 3} 38.38609
{txt}{space 15}56  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}59  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}62  {c |}{col 20}{res}{space 2} 3.908674{col 32}{space 2} 7.526796{col 43}{space 1}    0.52{col 52}{space 3}0.606{col 60}{space 4}-11.17536{col 73}{space 3} 18.99271
{txt}{space 15}63  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}65  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}67  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}68  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (empty)
{space 15}69  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}70  {c |}{col 20}{res}{space 2} 2.057348{col 32}{space 2} 6.896065{col 43}{space 1}    0.30{col 52}{space 3}0.767{col 60}{space 4}-11.76267{col 73}{space 3} 15.87737
{txt}{space 18} {c |}
{space 8}agetrimmed {c |}{col 20}{res}{space 2}-.1232718{col 32}{space 2} .2790658{col 43}{space 1}   -0.44{col 52}{space 3}0.660{col 60}{space 4}-.6825322{col 73}{space 3} .4359887
{txt}{space 5}heighttrimmed {c |}{col 20}{res}{space 2}-.1976829{col 32}{space 2} 1.555672{col 43}{space 1}   -0.13{col 52}{space 3}0.899{col 60}{space 4}-3.315318{col 73}{space 3} 2.919953
{txt}{space 6}percentblack {c |}{col 20}{res}{space 2}-3.277061{col 32}{space 2} 17.25689{col 43}{space 1}   -0.19{col 52}{space 3}0.850{col 60}{space 4}-37.86064{col 73}{space 3} 31.30652
{txt}{space 7}manufoutput {c |}{col 20}{res}{space 2}-.0045744{col 32}{space 2} .0229895{col 43}{space 1}   -0.20{col 52}{space 3}0.843{col 60}{space 4}-.0506464{col 73}{space 3} .0414975
{txt}{space 13}urban {c |}{col 20}{res}{space 2} .5986533{col 32}{space 2} 7.600308{col 43}{space 1}    0.08{col 52}{space 3}0.938{col 60}{space 4} -14.6327{col 73}{space 3} 15.83001
{txt}{space 4}proportionfarm {c |}{col 20}{res}{space 2} 3.295369{col 32}{space 2} 6.477989{col 43}{space 1}    0.51{col 52}{space 3}0.613{col 60}{space 4}-9.686812{col 73}{space 3} 16.27755
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 173.1278{col 32}{space 2} 107.3448{col 43}{space 1}    1.61{col 52}{space 3}0.113{col 60}{space 4}-41.99593{col 73}{space 3} 388.2515
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. eststo m7: areg weighttrimmed badstate_post_1882 i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct==1 & examdate>18751015 & examdate<18831015 & sameborder1879==1, cluster(distancemean_7583_20) absorb(recid)
{txt}note: 6.state_num omitted because of collinearity
{txt}note: 9.state_num omitted because of collinearity
{txt}note: 12.state_num omitted because of collinearity
{txt}note: 14.state_num omitted because of collinearity
{txt}note: 18.state_num omitted because of collinearity
{txt}note: 26.state_num omitted because of collinearity
{txt}note: 27.state_num omitted because of collinearity
{txt}note: 28.state_num omitted because of collinearity
{txt}note: 30.state_num omitted because of collinearity
{txt}note: 32.state_num omitted because of collinearity
{txt}note: 34.state_num omitted because of collinearity
{txt}note: 38.state_num omitted because of collinearity
{txt}note: 39.state_num omitted because of collinearity
{txt}note: 40.state_num omitted because of collinearity
{txt}note: 41.state_num omitted because of collinearity
{txt}note: 48.state_num omitted because of collinearity
{txt}note: 52.state_num omitted because of collinearity
{txt}note: 56.state_num omitted because of collinearity
{txt}note: 59.state_num omitted because of collinearity
{txt}note: 63.state_num omitted because of collinearity
{txt}note: 65.state_num omitted because of collinearity
{txt}note: 67.state_num omitted because of collinearity
{txt}note: 68.state_num omitted because of collinearity
{txt}note: 69.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     1,380
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}       944
{txt}{col 49}{help j_robustsingular##|_new:F(  19,     55)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.9403
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7977
{txt}{col 49}Root MSE{col 67}= {res}    8.5866

{txt}{ralign 84:(Std. Err. adjusted for {res:56} clusters in distancemean_7583_20)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     weighttrimmed{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post_1882 {c |}{col 20}{res}{space 2}-3.398049{col 32}{space 2} 3.433023{col 43}{space 1}   -0.99{col 52}{space 3}0.327{col 60}{space 4}-10.27798{col 73}{space 3} 3.481883
{txt}{space 18} {c |}
{space 14}year {c |}
{space 13}1876  {c |}{col 20}{res}{space 2} 5.111295{col 32}{space 2}  5.84005{col 43}{space 1}    0.88{col 52}{space 3}0.385{col 60}{space 4}-6.592428{col 73}{space 3} 16.81502
{txt}{space 13}1877  {c |}{col 20}{res}{space 2} 5.137585{col 32}{space 2} 4.578376{col 43}{space 1}    1.12{col 52}{space 3}0.267{col 60}{space 4}-4.037685{col 73}{space 3} 14.31286
{txt}{space 13}1878  {c |}{col 20}{res}{space 2} 6.212559{col 32}{space 2}   5.2909{col 43}{space 1}    1.17{col 52}{space 3}0.245{col 60}{space 4} -4.39064{col 73}{space 3} 16.81576
{txt}{space 13}1879  {c |}{col 20}{res}{space 2} 7.174334{col 32}{space 2} 5.757896{col 43}{space 1}    1.25{col 52}{space 3}0.218{col 60}{space 4}-4.364747{col 73}{space 3} 18.71342
{txt}{space 13}1880  {c |}{col 20}{res}{space 2} 2.712795{col 32}{space 2} 6.493194{col 43}{space 1}    0.42{col 52}{space 3}0.678{col 60}{space 4}-10.29986{col 73}{space 3} 15.72545
{txt}{space 13}1881  {c |}{col 20}{res}{space 2} 3.831054{col 32}{space 2} 5.600882{col 43}{space 1}    0.68{col 52}{space 3}0.497{col 60}{space 4}-7.393364{col 73}{space 3} 15.05547
{txt}{space 13}1882  {c |}{col 20}{res}{space 2} 5.395316{col 32}{space 2} 7.028977{col 43}{space 1}    0.77{col 52}{space 3}0.446{col 60}{space 4}-8.691068{col 73}{space 3}  19.4817
{txt}{space 13}1883  {c |}{col 20}{res}{space 2} 4.298694{col 32}{space 2} 7.019981{col 43}{space 1}    0.61{col 52}{space 3}0.543{col 60}{space 4}-9.769663{col 73}{space 3} 18.36705
{txt}{space 18} {c |}
{space 9}state_num {c |}
{space 16}3  {c |}{col 20}{res}{space 2}-2.865843{col 32}{space 2} 6.881793{col 43}{space 1}   -0.42{col 52}{space 3}0.679{col 60}{space 4}-16.65726{col 73}{space 3} 10.92558
{txt}{space 16}6  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 16}9  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}10  {c |}{col 20}{res}{space 2}-1.055053{col 32}{space 2} 6.854832{col 43}{space 1}   -0.15{col 52}{space 3}0.878{col 60}{space 4}-14.79244{col 73}{space 3} 12.68234
{txt}{space 15}11  {c |}{col 20}{res}{space 2} 8.883534{col 32}{space 2} 13.64915{col 43}{space 1}    0.65{col 52}{space 3}0.518{col 60}{space 4}-18.46997{col 73}{space 3} 36.23704
{txt}{space 15}12  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}14  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}18  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}20  {c |}{col 20}{res}{space 2} -8.80848{col 32}{space 2} 11.17996{col 43}{space 1}   -0.79{col 52}{space 3}0.434{col 60}{space 4}-31.21361{col 73}{space 3} 13.59665
{txt}{space 15}21  {c |}{col 20}{res}{space 2}-53.39683{col 32}{space 2} 12.17372{col 43}{space 1}   -4.39{col 52}{space 3}0.000{col 60}{space 4}-77.79352{col 73}{space 3}-29.00015
{txt}{space 15}25  {c |}{col 20}{res}{space 2}-9.404958{col 32}{space 2} 9.364921{col 43}{space 1}   -1.00{col 52}{space 3}0.320{col 60}{space 4}-28.17268{col 73}{space 3} 9.362764
{txt}{space 15}26  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}27  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}28  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}29  {c |}{col 20}{res}{space 2}-.0992354{col 32}{space 2} 6.712834{col 43}{space 1}   -0.01{col 52}{space 3}0.988{col 60}{space 4}-13.55206{col 73}{space 3} 13.35359
{txt}{space 15}30  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}31  {c |}{col 20}{res}{space 2}-62.10069{col 32}{space 2} 12.48658{col 43}{space 1}   -4.97{col 52}{space 3}0.000{col 60}{space 4}-87.12436{col 73}{space 3}-37.07703
{txt}{space 15}32  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}33  {c |}{col 20}{res}{space 2}-2.055125{col 32}{space 2} 6.906641{col 43}{space 1}   -0.30{col 52}{space 3}0.767{col 60}{space 4}-15.89634{col 73}{space 3} 11.78609
{txt}{space 15}34  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}38  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}39  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}40  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}41  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}42  {c |}{col 20}{res}{space 2} 8.741493{col 32}{space 2} 8.450786{col 43}{space 1}    1.03{col 52}{space 3}0.305{col 60}{space 4}-8.194261{col 73}{space 3} 25.67725
{txt}{space 15}48  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}49  {c |}{col 20}{res}{space 2}-62.35045{col 32}{space 2} 10.43559{col 43}{space 1}   -5.97{col 52}{space 3}0.000{col 60}{space 4}-83.26383{col 73}{space 3}-41.43707
{txt}{space 15}52  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (empty)
{space 15}53  {c |}{col 20}{res}{space 2}  14.0019{col 32}{space 2}  11.3674{col 43}{space 1}    1.23{col 52}{space 3}0.223{col 60}{space 4}-8.778882{col 73}{space 3} 36.78268
{txt}{space 15}56  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}59  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}62  {c |}{col 20}{res}{space 2} 2.750902{col 32}{space 2} 6.478046{col 43}{space 1}    0.42{col 52}{space 3}0.673{col 60}{space 4}-10.23139{col 73}{space 3}  15.7332
{txt}{space 15}63  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}65  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}67  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}68  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (empty)
{space 15}69  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}70  {c |}{col 20}{res}{space 2} .1519994{col 32}{space 2} 7.555105{col 43}{space 1}    0.02{col 52}{space 3}0.984{col 60}{space 4}-14.98877{col 73}{space 3} 15.29277
{txt}{space 18} {c |}
{space 8}agetrimmed {c |}{col 20}{res}{space 2}-.1244979{col 32}{space 2} .2799083{col 43}{space 1}   -0.44{col 52}{space 3}0.658{col 60}{space 4}-.6854466{col 73}{space 3} .4364508
{txt}{space 5}heighttrimmed {c |}{col 20}{res}{space 2}-.1571275{col 32}{space 2} 1.525006{col 43}{space 1}   -0.10{col 52}{space 3}0.918{col 60}{space 4}-3.213308{col 73}{space 3} 2.899053
{txt}{space 6}percentblack {c |}{col 20}{res}{space 2}-2.058972{col 32}{space 2} 16.92009{col 43}{space 1}   -0.12{col 52}{space 3}0.904{col 60}{space 4} -35.9676{col 73}{space 3} 31.84965
{txt}{space 7}manufoutput {c |}{col 20}{res}{space 2}-.0037337{col 32}{space 2} .0230735{col 43}{space 1}   -0.16{col 52}{space 3}0.872{col 60}{space 4}-.0499741{col 73}{space 3} .0425067
{txt}{space 13}urban {c |}{col 20}{res}{space 2} .3197992{col 32}{space 2} 7.675226{col 43}{space 1}    0.04{col 52}{space 3}0.967{col 60}{space 4} -15.0617{col 73}{space 3}  15.7013
{txt}{space 4}proportionfarm {c |}{col 20}{res}{space 2} 2.987631{col 32}{space 2} 6.705267{col 43}{space 1}    0.45{col 52}{space 3}0.658{col 60}{space 4}-10.45002{col 73}{space 3} 16.42529
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 171.4211{col 32}{space 2} 105.7488{col 43}{space 1}    1.62{col 52}{space 3}0.111{col 60}{space 4} -40.5043{col 73}{space 3} 383.3465
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. estout m1 m2 m3 m4 m5 m6 m7 using Table10.tex, replace style(tex) collabels(none) mlabels("Model 1" "Model 2" "Model 3" "Model 4" "Model 5" "Model 6" "Model 7", span prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) prehead("\begin{c -(}table{c )-}[htbp!]\caption{c -(}@title{c )-}" "\begin{c -(}center{c )-}" "\scriptsize" "\begin{c -(}threeparttable{c )-}"  "\begin{c -(}tabular{c )-}{c -(}l*{c -(}@M{c )-}{c -(}rr{c )-}{c )-}" "\hline")  cells(  b(star fmt(2)) se(par fmt(2)) ) starlevels(* .10 ** .05 *** .01)   s( N ) 
{res}{txt}(note: file Table10.tex not found)
(output written to {browse  `"Table10.tex"'})

{com}. 
. *Table 11
. 
. eststo m1: areg systemic badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct_rd_sample_mean==1 , absorb(recid) cluster (distancemean_7987_20) 
{txt}note: 9.state_num omitted because of collinearity
{txt}note: 12.state_num omitted because of collinearity
{txt}note: 14.state_num omitted because of collinearity
{txt}note: 18.state_num omitted because of collinearity
{txt}note: 26.state_num omitted because of collinearity
{txt}note: 30.state_num omitted because of collinearity
{txt}note: 32.state_num omitted because of collinearity
{txt}note: 33.state_num omitted because of collinearity
{txt}note: 39.state_num omitted because of collinearity
{txt}note: 40.state_num omitted because of collinearity
{txt}note: 59.state_num omitted because of collinearity
{txt}note: 69.state_num omitted because of collinearity
{txt}note: 70.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     1,138
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}       424
{txt}{col 49}{help j_robustsingular##|_new:F(  24,     50)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.6484
{txt}{col 49}Adj R-squared{col 67}= {res}    0.4103
{txt}{col 49}Root MSE{col 67}= {res}    0.3728

{txt}{ralign 80:(Std. Err. adjusted for {res:51} clusters in distancemean_7987_20)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}      systemic{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}badstate_post {c |}{col 16}{res}{space 2} .0443007{col 28}{space 2} .0715282{col 39}{space 1}    0.62{col 48}{space 3}0.539{col 56}{space 4}-.0993678{col 69}{space 3} .1879693
{txt}{space 14} {c |}
{space 10}year {c |}
{space 9}1880  {c |}{col 16}{res}{space 2}-.1525402{col 28}{space 2} .1403186{col 39}{space 1}   -1.09{col 48}{space 3}0.282{col 56}{space 4}-.4343784{col 69}{space 3}  .129298
{txt}{space 9}1881  {c |}{col 16}{res}{space 2}-.0722247{col 28}{space 2} .1059365{col 39}{space 1}   -0.68{col 48}{space 3}0.499{col 56}{space 4}-.2850045{col 69}{space 3} .1405551
{txt}{space 9}1882  {c |}{col 16}{res}{space 2}-.0483558{col 28}{space 2} .1217558{col 39}{space 1}   -0.40{col 48}{space 3}0.693{col 56}{space 4}-.2929094{col 69}{space 3} .1961979
{txt}{space 9}1883  {c |}{col 16}{res}{space 2}-.1211998{col 28}{space 2} .1067561{col 39}{space 1}   -1.14{col 48}{space 3}0.262{col 56}{space 4}-.3356257{col 69}{space 3} .0932261
{txt}{space 9}1884  {c |}{col 16}{res}{space 2}-.0581065{col 28}{space 2} .1226255{col 39}{space 1}   -0.47{col 48}{space 3}0.638{col 56}{space 4}-.3044071{col 69}{space 3} .1881941
{txt}{space 9}1885  {c |}{col 16}{res}{space 2} .2571623{col 28}{space 2} .1183688{col 39}{space 1}    2.17{col 48}{space 3}0.035{col 56}{space 4} .0194115{col 69}{space 3}  .494913
{txt}{space 9}1886  {c |}{col 16}{res}{space 2} .2241108{col 28}{space 2} .1055475{col 39}{space 1}    2.12{col 48}{space 3}0.039{col 56}{space 4} .0121124{col 69}{space 3} .4361093
{txt}{space 9}1887  {c |}{col 16}{res}{space 2} .2517245{col 28}{space 2} .1186219{col 39}{space 1}    2.12{col 48}{space 3}0.039{col 56}{space 4} .0134654{col 69}{space 3} .4899836
{txt}{space 14} {c |}
{space 5}state_num {c |}
{space 12}3  {c |}{col 16}{res}{space 2} .4230778{col 28}{space 2} .1868919{col 39}{space 1}    2.26{col 48}{space 3}0.028{col 56}{space 4} .0476944{col 69}{space 3} .7984613
{txt}{space 12}9  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}10  {c |}{col 16}{res}{space 2}-.4757456{col 28}{space 2}  .719906{col 39}{space 1}   -0.66{col 48}{space 3}0.512{col 56}{space 4}-1.921719{col 69}{space 3} .9702282
{txt}{space 11}11  {c |}{col 16}{res}{space 2} .3740152{col 28}{space 2} .3540995{col 39}{space 1}    1.06{col 48}{space 3}0.296{col 56}{space 4}-.3372145{col 69}{space 3} 1.085245
{txt}{space 11}12  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}14  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}18  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}20  {c |}{col 16}{res}{space 2}-.3313649{col 28}{space 2}  .247604{col 39}{space 1}   -1.34{col 48}{space 3}0.187{col 56}{space 4}-.8286922{col 69}{space 3} .1659623
{txt}{space 11}21  {c |}{col 16}{res}{space 2}-.1872123{col 28}{space 2} .3084363{col 39}{space 1}   -0.61{col 48}{space 3}0.547{col 56}{space 4}-.8067247{col 69}{space 3} .4323002
{txt}{space 11}25  {c |}{col 16}{res}{space 2}-.3459619{col 28}{space 2} .2341697{col 39}{space 1}   -1.48{col 48}{space 3}0.146{col 56}{space 4}-.8163056{col 69}{space 3} .1243818
{txt}{space 11}26  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}27  {c |}{col 16}{res}{space 2} .4745986{col 28}{space 2}  .214347{col 39}{space 1}    2.21{col 48}{space 3}0.031{col 56}{space 4} .0440699{col 69}{space 3} .9051273
{txt}{space 11}28  {c |}{col 16}{res}{space 2}-.1056637{col 28}{space 2} .4557576{col 39}{space 1}   -0.23{col 48}{space 3}0.818{col 56}{space 4} -1.02108{col 69}{space 3} .8097523
{txt}{space 11}29  {c |}{col 16}{res}{space 2}-.1613061{col 28}{space 2} .1200724{col 39}{space 1}   -1.34{col 48}{space 3}0.185{col 56}{space 4}-.4024787{col 69}{space 3} .0798664
{txt}{space 11}30  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}31  {c |}{col 16}{res}{space 2}-.3351894{col 28}{space 2} .3074551{col 39}{space 1}   -1.09{col 48}{space 3}0.281{col 56}{space 4}-.9527312{col 69}{space 3} .2823523
{txt}{space 11}32  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}33  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}34  {c |}{col 16}{res}{space 2}   .76775{col 28}{space 2} .1129034{col 39}{space 1}    6.80{col 48}{space 3}0.000{col 56}{space 4} .5409768{col 69}{space 3} .9945232
{txt}{space 11}38  {c |}{col 16}{res}{space 2} .5687375{col 28}{space 2} .1823714{col 39}{space 1}    3.12{col 48}{space 3}0.003{col 56}{space 4} .2024337{col 69}{space 3} .9350413
{txt}{space 11}39  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}40  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}41  {c |}{col 16}{res}{space 2} .6479006{col 28}{space 2} .4627019{col 39}{space 1}    1.40{col 48}{space 3}0.168{col 56}{space 4}-.2814635{col 69}{space 3} 1.577265
{txt}{space 11}42  {c |}{col 16}{res}{space 2}-.0925194{col 28}{space 2}  .396104{col 39}{space 1}   -0.23{col 48}{space 3}0.816{col 56}{space 4}-.8881178{col 69}{space 3} .7030789
{txt}{space 11}48  {c |}{col 16}{res}{space 2}-.7569174{col 28}{space 2} .3748281{col 39}{space 1}   -2.02{col 48}{space 3}0.049{col 56}{space 4}-1.509782{col 69}{space 3} -.004053
{txt}{space 11}49  {c |}{col 16}{res}{space 2}-.0997418{col 28}{space 2} .2957219{col 39}{space 1}   -0.34{col 48}{space 3}0.737{col 56}{space 4}-.6937166{col 69}{space 3} .4942331
{txt}{space 11}53  {c |}{col 16}{res}{space 2}-.0989346{col 28}{space 2} .3573841{col 39}{space 1}   -0.28{col 48}{space 3}0.783{col 56}{space 4}-.8167617{col 69}{space 3} .6188925
{txt}{space 11}56  {c |}{col 16}{res}{space 2}-.1152872{col 28}{space 2} .5029433{col 39}{space 1}   -0.23{col 48}{space 3}0.820{col 56}{space 4}-1.125479{col 69}{space 3}  .894904
{txt}{space 11}59  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}62  {c |}{col 16}{res}{space 2} .6610753{col 28}{space 2} .1458047{col 39}{space 1}    4.53{col 48}{space 3}0.000{col 56}{space 4}  .368218{col 69}{space 3} .9539327
{txt}{space 11}65  {c |}{col 16}{res}{space 2}-.0116377{col 28}{space 2} .1581828{col 39}{space 1}   -0.07{col 48}{space 3}0.942{col 56}{space 4}-.3293572{col 69}{space 3} .3060818
{txt}{space 11}67  {c |}{col 16}{res}{space 2}-.1214285{col 28}{space 2} .3072985{col 39}{space 1}   -0.40{col 48}{space 3}0.694{col 56}{space 4}-.7386557{col 69}{space 3} .4957986
{txt}{space 11}69  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}70  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 14} {c |}
{space 4}agetrimmed {c |}{col 16}{res}{space 2} .0017984{col 28}{space 2} .0084647{col 39}{space 1}    0.21{col 48}{space 3}0.833{col 56}{space 4}-.0152034{col 69}{space 3} .0188001
{txt}{space 1}heighttrimmed {c |}{col 16}{res}{space 2} -.008608{col 28}{space 2}  .013694{col 39}{space 1}   -0.63{col 48}{space 3}0.532{col 56}{space 4}-.0361132{col 69}{space 3} .0188972
{txt}{space 2}percentblack {c |}{col 16}{res}{space 2}-.6196729{col 28}{space 2} .3157679{col 39}{space 1}   -1.96{col 48}{space 3}0.055{col 56}{space 4}-1.253911{col 69}{space 3} .0145656
{txt}{space 3}manufoutput {c |}{col 16}{res}{space 2}-.0000847{col 28}{space 2} .0006658{col 39}{space 1}   -0.13{col 48}{space 3}0.899{col 56}{space 4}-.0014219{col 69}{space 3} .0012526
{txt}{space 9}urban {c |}{col 16}{res}{space 2}-.2049495{col 28}{space 2} .2326269{col 39}{space 1}   -0.88{col 48}{space 3}0.383{col 56}{space 4}-.6721945{col 69}{space 3} .2622955
{txt}proportionfarm {c |}{col 16}{res}{space 2} .3469786{col 28}{space 2} .2342043{col 39}{space 1}    1.48{col 48}{space 3}0.145{col 56}{space 4}-.1234345{col 69}{space 3} .8173918
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} .8506065{col 28}{space 2} 1.117587{col 39}{space 1}    0.76{col 48}{space 3}0.450{col 56}{space 4}-1.394134{col 69}{space 3} 3.095347
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m2: areg systemic badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct_rd_sample_mean==1 & distancemean7987<=300, absorb(recid) cluster (distancemean_7987_20) 
{txt}note: 9.state_num omitted because of collinearity
{txt}note: 18.state_num omitted because of collinearity
{txt}note: 26.state_num omitted because of collinearity
{txt}note: 31.state_num omitted because of collinearity
{txt}note: 33.state_num omitted because of collinearity
{txt}note: 38.state_num omitted because of collinearity
{txt}note: 40.state_num omitted because of collinearity
{txt}note: 56.state_num omitted because of collinearity
{txt}note: 69.state_num omitted because of collinearity
{txt}note: 70.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     1,000
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}       370
{txt}{col 49}{help j_robustsingular##|_new:F(  23,     28)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.6431
{txt}{col 49}Adj R-squared{col 67}= {res}    0.4049
{txt}{col 49}Root MSE{col 67}= {res}    0.3764

{txt}{ralign 80:(Std. Err. adjusted for {res:29} clusters in distancemean_7987_20)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}      systemic{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}badstate_post {c |}{col 16}{res}{space 2}  .057758{col 28}{space 2} .0797164{col 39}{space 1}    0.72{col 48}{space 3}0.475{col 56}{space 4}-.1055337{col 69}{space 3} .2210496
{txt}{space 14} {c |}
{space 10}year {c |}
{space 9}1880  {c |}{col 16}{res}{space 2}-.0758466{col 28}{space 2} .1152232{col 39}{space 1}   -0.66{col 48}{space 3}0.516{col 56}{space 4}-.3118707{col 69}{space 3} .1601775
{txt}{space 9}1881  {c |}{col 16}{res}{space 2} .0127591{col 28}{space 2} .0860225{col 39}{space 1}    0.15{col 48}{space 3}0.883{col 56}{space 4}-.1634501{col 69}{space 3} .1889682
{txt}{space 9}1882  {c |}{col 16}{res}{space 2} .0654859{col 28}{space 2} .1021522{col 39}{space 1}    0.64{col 48}{space 3}0.527{col 56}{space 4}-.1437634{col 69}{space 3} .2747352
{txt}{space 9}1883  {c |}{col 16}{res}{space 2}-.0214893{col 28}{space 2} .0855642{col 39}{space 1}   -0.25{col 48}{space 3}0.804{col 56}{space 4}-.1967596{col 69}{space 3}  .153781
{txt}{space 9}1884  {c |}{col 16}{res}{space 2} .0491846{col 28}{space 2} .1069835{col 39}{space 1}    0.46{col 48}{space 3}0.649{col 56}{space 4}-.1699611{col 69}{space 3} .2683304
{txt}{space 9}1885  {c |}{col 16}{res}{space 2} .3452446{col 28}{space 2} .1108168{col 39}{space 1}    3.12{col 48}{space 3}0.004{col 56}{space 4} .1182467{col 69}{space 3} .5722425
{txt}{space 9}1886  {c |}{col 16}{res}{space 2} .3243302{col 28}{space 2}  .084819{col 39}{space 1}    3.82{col 48}{space 3}0.001{col 56}{space 4} .1505864{col 69}{space 3}  .498074
{txt}{space 9}1887  {c |}{col 16}{res}{space 2} .3723622{col 28}{space 2} .0933614{col 39}{space 1}    3.99{col 48}{space 3}0.000{col 56}{space 4} .1811199{col 69}{space 3} .5636044
{txt}{space 14} {c |}
{space 5}state_num {c |}
{space 12}3  {c |}{col 16}{res}{space 2} .3681521{col 28}{space 2} .1607734{col 39}{space 1}    2.29{col 48}{space 3}0.030{col 56}{space 4} .0388227{col 69}{space 3} .6974815
{txt}{space 12}9  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}10  {c |}{col 16}{res}{space 2} .1851826{col 28}{space 2} .1340132{col 39}{space 1}    1.38{col 48}{space 3}0.178{col 56}{space 4}-.0893311{col 69}{space 3} .4596962
{txt}{space 11}11  {c |}{col 16}{res}{space 2} .7557798{col 28}{space 2} .3570398{col 39}{space 1}    2.12{col 48}{space 3}0.043{col 56}{space 4}  .024417{col 69}{space 3} 1.487143
{txt}{space 11}12  {c |}{col 16}{res}{space 2}-.5300932{col 28}{space 2} .2190582{col 39}{space 1}   -2.42{col 48}{space 3}0.022{col 56}{space 4}-.9788136{col 69}{space 3}-.0813729
{txt}{space 11}18  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}20  {c |}{col 16}{res}{space 2} .0024256{col 28}{space 2} .1327692{col 39}{space 1}    0.02{col 48}{space 3}0.986{col 56}{space 4}-.2695398{col 69}{space 3} .2743911
{txt}{space 11}21  {c |}{col 16}{res}{space 2}  .132344{col 28}{space 2} .0425916{col 39}{space 1}    3.11{col 48}{space 3}0.004{col 56}{space 4} .0450991{col 69}{space 3} .2195888
{txt}{space 11}25  {c |}{col 16}{res}{space 2} .0113666{col 28}{space 2} .1948073{col 39}{space 1}    0.06{col 48}{space 3}0.954{col 56}{space 4}-.3876781{col 69}{space 3} .4104113
{txt}{space 11}26  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}28  {c |}{col 16}{res}{space 2} .2106913{col 28}{space 2} .3242398{col 39}{space 1}    0.65{col 48}{space 3}0.521{col 56}{space 4}-.4534839{col 69}{space 3} .8748664
{txt}{space 11}29  {c |}{col 16}{res}{space 2}-.7025122{col 28}{space 2} .1681664{col 39}{space 1}   -4.18{col 48}{space 3}0.000{col 56}{space 4}-1.046985{col 69}{space 3}-.3580389
{txt}{space 11}31  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}33  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}34  {c |}{col 16}{res}{space 2} .7293532{col 28}{space 2} .1540976{col 39}{space 1}    4.73{col 48}{space 3}0.000{col 56}{space 4} .4136987{col 69}{space 3} 1.045008
{txt}{space 11}38  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}40  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}42  {c |}{col 16}{res}{space 2} .2386271{col 28}{space 2} .2784523{col 39}{space 1}    0.86{col 48}{space 3}0.399{col 56}{space 4}-.3317565{col 69}{space 3} .8090108
{txt}{space 11}48  {c |}{col 16}{res}{space 2}-.4109693{col 28}{space 2} .2138181{col 39}{space 1}   -1.92{col 48}{space 3}0.065{col 56}{space 4}-.8489559{col 69}{space 3} .0270173
{txt}{space 11}49  {c |}{col 16}{res}{space 2} .2225709{col 28}{space 2} .0852692{col 39}{space 1}    2.61{col 48}{space 3}0.014{col 56}{space 4} .0479048{col 69}{space 3} .3972369
{txt}{space 11}53  {c |}{col 16}{res}{space 2}  .230755{col 28}{space 2}  .235328{col 39}{space 1}    0.98{col 48}{space 3}0.335{col 56}{space 4}-.2512927{col 69}{space 3} .7128026
{txt}{space 11}56  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}62  {c |}{col 16}{res}{space 2} .6543216{col 28}{space 2} .1555577{col 39}{space 1}    4.21{col 48}{space 3}0.000{col 56}{space 4} .3356762{col 69}{space 3} .9729671
{txt}{space 11}65  {c |}{col 16}{res}{space 2}-.5754404{col 28}{space 2} .1632015{col 39}{space 1}   -3.53{col 48}{space 3}0.001{col 56}{space 4}-.9097435{col 69}{space 3}-.2411374
{txt}{space 11}69  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}70  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 14} {c |}
{space 4}agetrimmed {c |}{col 16}{res}{space 2} .0018795{col 28}{space 2} .0094747{col 39}{space 1}    0.20{col 48}{space 3}0.844{col 56}{space 4}-.0175285{col 69}{space 3} .0212875
{txt}{space 1}heighttrimmed {c |}{col 16}{res}{space 2}-.0035567{col 28}{space 2} .0141114{col 39}{space 1}   -0.25{col 48}{space 3}0.803{col 56}{space 4}-.0324627{col 69}{space 3} .0253492
{txt}{space 2}percentblack {c |}{col 16}{res}{space 2}-.4080441{col 28}{space 2} .4732007{col 39}{space 1}   -0.86{col 48}{space 3}0.396{col 56}{space 4}-1.377352{col 69}{space 3} .5612636
{txt}{space 3}manufoutput {c |}{col 16}{res}{space 2} .0002836{col 28}{space 2} .0008592{col 39}{space 1}    0.33{col 48}{space 3}0.744{col 56}{space 4}-.0014764{col 69}{space 3} .0020435
{txt}{space 9}urban {c |}{col 16}{res}{space 2}-.3404423{col 28}{space 2} .3153788{col 39}{space 1}   -1.08{col 48}{space 3}0.290{col 56}{space 4}-.9864665{col 69}{space 3} .3055819
{txt}proportionfarm {c |}{col 16}{res}{space 2} .3198298{col 28}{space 2} .2750302{col 39}{space 1}    1.16{col 48}{space 3}0.255{col 56}{space 4}-.2435439{col 69}{space 3} .8832036
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} .2346262{col 28}{space 2} 1.203568{col 39}{space 1}    0.19{col 48}{space 3}0.847{col 56}{space 4}-2.230771{col 69}{space 3} 2.700023
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. eststo m3: areg systemic badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct_rd_sample_mean==1 & distancemean7987<=200,absorb(recid)  cluster(distancemean_7987_20) 
{txt}note: 9.state_num omitted because of collinearity
{txt}note: 10.state_num omitted because of collinearity
{txt}note: 18.state_num omitted because of collinearity
{txt}note: 26.state_num omitted because of collinearity
{txt}note: 33.state_num omitted because of collinearity
{txt}note: 38.state_num omitted because of collinearity
{txt}note: 40.state_num omitted because of collinearity
{txt}note: 48.state_num omitted because of collinearity
{txt}note: 70.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       793
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}       297
{txt}{col 49}{help j_robustsingular##|_new:F(  19,     19)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.6475
{txt}{col 49}Adj R-squared{col 67}= {res}    0.4035
{txt}{col 49}Root MSE{col 67}= {res}    0.3752

{txt}{ralign 80:(Std. Err. adjusted for {res:20} clusters in distancemean_7987_20)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}      systemic{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}badstate_post {c |}{col 16}{res}{space 2} .0881698{col 28}{space 2} .0843588{col 39}{space 1}    1.05{col 48}{space 3}0.309{col 56}{space 4}-.0883952{col 69}{space 3} .2647348
{txt}{space 14} {c |}
{space 10}year {c |}
{space 9}1880  {c |}{col 16}{res}{space 2}-.0121509{col 28}{space 2} .1481975{col 39}{space 1}   -0.08{col 48}{space 3}0.936{col 56}{space 4}-.3223317{col 69}{space 3} .2980299
{txt}{space 9}1881  {c |}{col 16}{res}{space 2} .0558371{col 28}{space 2} .0900649{col 39}{space 1}    0.62{col 48}{space 3}0.543{col 56}{space 4}-.1326708{col 69}{space 3}  .244345
{txt}{space 9}1882  {c |}{col 16}{res}{space 2} .1098164{col 28}{space 2} .1152122{col 39}{space 1}    0.95{col 48}{space 3}0.352{col 56}{space 4}-.1313256{col 69}{space 3} .3509583
{txt}{space 9}1883  {c |}{col 16}{res}{space 2}-.0096958{col 28}{space 2} .1023994{col 39}{space 1}   -0.09{col 48}{space 3}0.926{col 56}{space 4}-.2240203{col 69}{space 3} .2046287
{txt}{space 9}1884  {c |}{col 16}{res}{space 2} .0384196{col 28}{space 2} .1280904{col 39}{space 1}    0.30{col 48}{space 3}0.767{col 56}{space 4}-.2296767{col 69}{space 3} .3065159
{txt}{space 9}1885  {c |}{col 16}{res}{space 2} .3169766{col 28}{space 2} .1256341{col 39}{space 1}    2.52{col 48}{space 3}0.021{col 56}{space 4} .0540213{col 69}{space 3} .5799318
{txt}{space 9}1886  {c |}{col 16}{res}{space 2}   .32843{col 28}{space 2} .1019559{col 39}{space 1}    3.22{col 48}{space 3}0.004{col 56}{space 4} .1150339{col 69}{space 3} .5418262
{txt}{space 9}1887  {c |}{col 16}{res}{space 2}  .366274{col 28}{space 2} .1129438{col 39}{space 1}    3.24{col 48}{space 3}0.004{col 56}{space 4} .1298798{col 69}{space 3} .6026682
{txt}{space 14} {c |}
{space 5}state_num {c |}
{space 12}3  {c |}{col 16}{res}{space 2}-.0079922{col 28}{space 2} .3654603{col 39}{space 1}   -0.02{col 48}{space 3}0.983{col 56}{space 4}-.7729095{col 69}{space 3} .7569251
{txt}{space 12}9  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}10  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}11  {c |}{col 16}{res}{space 2} .9364614{col 28}{space 2} .3154794{col 39}{space 1}    2.97{col 48}{space 3}0.008{col 56}{space 4} .2761553{col 69}{space 3} 1.596767
{txt}{space 11}12  {c |}{col 16}{res}{space 2}-.4565229{col 28}{space 2} .2899783{col 39}{space 1}   -1.57{col 48}{space 3}0.132{col 56}{space 4}-1.063455{col 69}{space 3} .1504086
{txt}{space 11}18  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}20  {c |}{col 16}{res}{space 2} .3854302{col 28}{space 2} .2445337{col 39}{space 1}    1.58{col 48}{space 3}0.131{col 56}{space 4}-.1263847{col 69}{space 3} .8972451
{txt}{space 11}21  {c |}{col 16}{res}{space 2} .4983134{col 28}{space 2} .2235652{col 39}{space 1}    2.23{col 48}{space 3}0.038{col 56}{space 4} .0303861{col 69}{space 3} .9662406
{txt}{space 11}25  {c |}{col 16}{res}{space 2} .3038277{col 28}{space 2} .2475409{col 39}{space 1}    1.23{col 48}{space 3}0.235{col 56}{space 4}-.2142814{col 69}{space 3} .8219368
{txt}{space 11}26  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}29  {c |}{col 16}{res}{space 2}-.6767369{col 28}{space 2} .2012107{col 39}{space 1}   -3.36{col 48}{space 3}0.003{col 56}{space 4}-1.097876{col 69}{space 3} -.255598
{txt}{space 11}33  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}34  {c |}{col 16}{res}{space 2}  .405826{col 28}{space 2}  .265918{col 39}{space 1}    1.53{col 48}{space 3}0.143{col 56}{space 4}-.1507469{col 69}{space 3} .9623988
{txt}{space 11}38  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}40  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}42  {c |}{col 16}{res}{space 2} .5391612{col 28}{space 2} .1466076{col 39}{space 1}    3.68{col 48}{space 3}0.002{col 56}{space 4}  .232308{col 69}{space 3} .8460143
{txt}{space 11}48  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}49  {c |}{col 16}{res}{space 2} .5312717{col 28}{space 2} .2126166{col 39}{space 1}    2.50{col 48}{space 3}0.022{col 56}{space 4}   .08626{col 69}{space 3} .9762833
{txt}{space 11}53  {c |}{col 16}{res}{space 2} .5059498{col 28}{space 2} .1577202{col 39}{space 1}    3.21{col 48}{space 3}0.005{col 56}{space 4} .1758376{col 69}{space 3} .8360619
{txt}{space 11}62  {c |}{col 16}{res}{space 2} .1110227{col 28}{space 2} .2443234{col 39}{space 1}    0.45{col 48}{space 3}0.655{col 56}{space 4}-.4003521{col 69}{space 3} .6223975
{txt}{space 11}65  {c |}{col 16}{res}{space 2}-.5639227{col 28}{space 2} .1740292{col 39}{space 1}   -3.24{col 48}{space 3}0.004{col 56}{space 4}-.9281701{col 69}{space 3}-.1996753
{txt}{space 11}70  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 14} {c |}
{space 4}agetrimmed {c |}{col 16}{res}{space 2} .0060226{col 28}{space 2} .0110623{col 39}{space 1}    0.54{col 48}{space 3}0.592{col 56}{space 4}-.0171311{col 69}{space 3} .0291762
{txt}{space 1}heighttrimmed {c |}{col 16}{res}{space 2} .0003565{col 28}{space 2} .0162354{col 39}{space 1}    0.02{col 48}{space 3}0.983{col 56}{space 4}-.0336245{col 69}{space 3} .0343376
{txt}{space 2}percentblack {c |}{col 16}{res}{space 2}-.1938068{col 28}{space 2} .6399921{col 39}{space 1}   -0.30{col 48}{space 3}0.765{col 56}{space 4}-1.533326{col 69}{space 3} 1.145712
{txt}{space 3}manufoutput {c |}{col 16}{res}{space 2} .0004352{col 28}{space 2} .0004992{col 39}{space 1}    0.87{col 48}{space 3}0.394{col 56}{space 4}-.0006098{col 69}{space 3} .0014801
{txt}{space 9}urban {c |}{col 16}{res}{space 2}-.3533902{col 28}{space 2}  .219181{col 39}{space 1}   -1.61{col 48}{space 3}0.123{col 56}{space 4}-.8121413{col 69}{space 3} .1053609
{txt}proportionfarm {c |}{col 16}{res}{space 2} .2052603{col 28}{space 2} .2842277{col 39}{space 1}    0.72{col 48}{space 3}0.479{col 56}{space 4}-.3896351{col 69}{space 3} .8001557
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-.3967512{col 28}{space 2} 1.353626{col 39}{space 1}   -0.29{col 48}{space 3}0.773{col 56}{space 4}-3.229923{col 69}{space 3}  2.43642
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. estout m1 m2 m3 using Table11.tex, replace style(tex) collabels(none) mlabels("Model 1" "Model 2" "Model 3", span prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) prehead("\begin{c -(}table{c )-}[htbp!]\caption{c -(}@title{c )-}" "\begin{c -(}center{c )-}" "\scriptsize" "\begin{c -(}threeparttable{c )-}"  "\begin{c -(}tabular{c )-}{c -(}l*{c -(}@M{c )-}{c -(}rr{c )-}{c )-}" "\hline")  cells(  b(star fmt(2)) se(par fmt(2)) ) starlevels(* .10 ** .05 *** .01)   s( N ) 
{res}{txt}(note: file Table11.tex not found)
(output written to {browse  `"Table11.tex"'})

{com}. 
. use age_married_owns.dta, replace
{txt}
{com}. 
. *Table 12
. 
. sum agetrimmed if usct_rd_sample_mean==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 2}agetrimmed {c |}{res}      1,220    47.56803    8.963025         27         83
{txt}
{com}. 
. sum married if usct==1 & usct_rd_sample==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 5}married {c |}{res}         55    .8545455     .355808          0          1
{txt}
{com}. 
. sum ownsvs if usct==1 & usct_rd_sample==1

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
ownsvsrent~e {c |}{res}         48    .6458333    .4833211          0          1
{txt}
{com}. 
. use public_accommodations_replication_final.dta, replace
{txt}
{com}. 
. *Table 13
. 
. ttest weighttrimmedpre if usct==1 &  badstate==1 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    161{col 22} 152.1755{col 34} 1.302259{col 46} 16.52381{col 58} 149.6036{col 70} 154.7473
       {txt}1 {c |}{res}{col 12}    142{col 22} 154.2717{col 34} 1.536406{col 46}  18.3084{col 58} 151.2343{col 70} 157.3091
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    303{col 22} 153.1579{col 34} .9987655{col 46} 17.38541{col 58} 151.1924{col 70} 155.1233
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-2.096248{col 34} 2.001148{col 58}-6.034259{col 70} 1.841763
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -1.0475
{txt}Ho: diff = 0                                     degrees of freedom = {res}     301

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1478         {txt}Pr(|T| > |t|) = {res}0.2957          {txt}Pr(T > t) = {res}0.8522
{txt}
{com}. ttest heighttrimmedpre if usct==1 &  badstate==1 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    161{col 22} 67.28235{col 34}  .197733{col 46} 2.508951{col 58} 66.89185{col 70} 67.67285
       {txt}1 {c |}{res}{col 12}    142{col 22} 67.68398{col 34} .2346113{col 46} 2.795716{col 58} 67.22017{col 70} 68.14779
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    303{col 22} 67.47057{col 34} .1522604{col 46} 2.650381{col 58} 67.17095{col 70}  67.7702
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} -.401629{col 34} .3047497{col 58}-1.001339{col 70} .1980808
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -1.3179
{txt}Ho: diff = 0                                     degrees of freedom = {res}     301

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0943         {txt}Pr(|T| > |t|) = {res}0.1885          {txt}Pr(T > t) = {res}0.9057
{txt}
{com}. ttest agetrimmedpre if usct==1 &  badstate==1 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    161{col 22} 45.14182{col 34} .6894624{col 46} 8.748298{col 58}  43.7802{col 70} 46.50344
       {txt}1 {c |}{res}{col 12}    142{col 22} 45.35211{col 34} .7167126{col 46} 8.540616{col 58} 43.93522{col 70}   46.769
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    303{col 22} 45.24037{col 34} .4962365{col 46} 8.637936{col 58} 44.26386{col 70} 46.21689
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2102907{col 34} .9960067{col 58}-2.170309{col 70} 1.749727
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.2111
{txt}Ho: diff = 0                                     degrees of freedom = {res}     301

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4165         {txt}Pr(|T| > |t|) = {res}0.8329          {txt}Pr(T > t) = {res}0.5835
{txt}
{com}. ttest preweightdiffmean if usct==1 &  badstate==1 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     44{col 22} .8181818{col 34} 2.942952{col 46} 19.52133{col 58}-5.116846{col 70}  6.75321
       {txt}1 {c |}{res}{col 12}     43{col 22} 1.081395{col 34} 2.354276{col 46} 15.43802{col 58}-3.669726{col 70} 5.832517
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}     87{col 22} .9482759{col 34} 1.878351{col 46} 17.52009{col 58}-2.785763{col 70} 4.682315
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.2632135{col 34} 3.778878{col 58}-7.776636{col 70} 7.250208
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.0697
{txt}Ho: diff = 0                                     degrees of freedom = {res}      85

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4723         {txt}Pr(|T| > |t|) = {res}0.9446          {txt}Pr(T > t) = {res}0.5277
{txt}
{com}. ttest infectpre_new if usct==1 &  badstate==1 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    161{col 22}  .015528{col 34} .0092649{col 46}  .117558{col 58}-.0027692{col 70} .0338251
       {txt}1 {c |}{res}{col 12}    142{col 22}        0{col 34}        0{col 46}        0{col 58}        0{col 70}        0
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    303{col 22} .0082508{col 34} .0049359{col 46} .0859187{col 58}-.0014623{col 70} .0179639
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}  .015528{col 34} .0098672{col 58}-.0038894{col 70} .0349453
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.5737
{txt}Ho: diff = 0                                     degrees of freedom = {res}     301

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9417         {txt}Pr(|T| > |t|) = {res}0.1166          {txt}Pr(T > t) = {res}0.0583
{txt}
{com}. ttest cardiopre_new if usct==1 &  badstate==1 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    161{col 22} .0062112{col 34} .0062112{col 46}  .078811{col 58}-.0060553{col 70} .0184776
       {txt}1 {c |}{res}{col 12}    142{col 22} .0070423{col 34} .0070423{col 46} .0839181{col 58}-.0068798{col 70} .0209643
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    303{col 22} .0066007{col 34} .0046596{col 46} .0811098{col 58}-.0025688{col 70} .0157701
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0008311{col 34}  .009353{col 58}-.0192367{col 70} .0175745
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.0889
{txt}Ho: diff = 0                                     degrees of freedom = {res}     301

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4646         {txt}Pr(|T| > |t|) = {res}0.9293          {txt}Pr(T > t) = {res}0.5354
{txt}
{com}. ttest eyepre_new if usct==1 &  badstate==1 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    161{col 22} .0310559{col 34}  .012987{col 46} .1647862{col 58} .0054079{col 70} .0567039
       {txt}1 {c |}{res}{col 12}    142{col 22} .0070423{col 34} .0049619{col 46} .0591283{col 58}-.0027672{col 70} .0168517
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    303{col 22}  .019802{col 34} .0073036{col 46} .1271333{col 58} .0054296{col 70} .0341744
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0240136{col 34} .0145948{col 58}-.0047072{col 70} .0527345
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.6454
{txt}Ho: diff = 0                                     degrees of freedom = {res}     301

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9495         {txt}Pr(|T| > |t|) = {res}0.1009          {txt}Pr(T > t) = {res}0.0505
{txt}
{com}. ttest endocrinepre_new if usct==1 &  badstate==1 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    161{col 22}        0{col 34}        0{col 46}        0{col 58}        0{col 70}        0
       {txt}1 {c |}{res}{col 12}    142{col 22}        0{col 34}        0{col 46}        0{col 58}        0{col 70}        0
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    303{col 22}        0{col 34}        0{col 46}        0{col 58}        0{col 70}        0
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}        0{col 34}        0{col 58}        0{col 70}        0
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}       .
{txt}Ho: diff = 0                                     degrees of freedom = {res}     301

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}     .         {txt}Pr(|T| > |t|) = {res}     .          {txt}Pr(T > t) = {res}     .
{txt}
{com}. ttest gastropre_new if usct==1 &  badstate==1 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    161{col 22}  .015528{col 34} .0092649{col 46}  .117558{col 58}-.0027692{col 70} .0338251
       {txt}1 {c |}{res}{col 12}    142{col 22} .0305164{col 34}  .014097{col 46}  .167985{col 58} .0026477{col 70} .0583852
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    303{col 22} .0225523{col 34}  .008236{col 46} .1433632{col 58}  .006345{col 70} .0387595
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0149885{col 34} .0165093{col 58}-.0474767{col 70} .0174997
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.9079
{txt}Ho: diff = 0                                     degrees of freedom = {res}     301

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1823         {txt}Pr(|T| > |t|) = {res}0.3647          {txt}Pr(T > t) = {res}0.8177
{txt}
{com}. ttest kidneypre_new if usct==1 &  badstate==1 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    161{col 22} .0062112{col 34} .0062112{col 46}  .078811{col 58}-.0060553{col 70} .0184776
       {txt}1 {c |}{res}{col 12}    142{col 22} .0105634{col 34} .0078511{col 46} .0935568{col 58}-.0049577{col 70} .0260845
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    303{col 22} .0082508{col 34} .0049359{col 46} .0859187{col 58}-.0014623{col 70} .0179639
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0043522{col 34} .0099045{col 58}-.0238431{col 70} .0151387
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.4394
{txt}Ho: diff = 0                                     degrees of freedom = {res}     301

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3303         {txt}Pr(|T| > |t|) = {res}0.6607          {txt}Pr(T > t) = {res}0.6697
{txt}
{com}. ttest abnormalresppre_new if usct==1 &  badstate==1 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    161{col 22} .0310559{col 34}  .012987{col 46} .1647862{col 58} .0054079{col 70} .0567039
       {txt}1 {c |}{res}{col 12}    142{col 22} .0316901{col 34} .0134228{col 46} .1599511{col 58} .0051542{col 70} .0582261
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    303{col 22} .0313531{col 34} .0093222{col 46} .1622702{col 58} .0130085{col 70} .0496978
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0006342{col 34} .0187121{col 58}-.0374573{col 70} .0361888
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.0339
{txt}Ho: diff = 0                                     degrees of freedom = {res}     301

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4865         {txt}Pr(|T| > |t|) = {res}0.9730          {txt}Pr(T > t) = {res}0.5135
{txt}
{com}. ttest herniapre_new if usct==1 &  badstate==1 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    161{col 22}  .052795{col 34} .0174024{col 46} .2208116{col 58}  .018427{col 70}  .087163
       {txt}1 {c |}{res}{col 12}    142{col 22} .0316901{col 34} .0143229{col 46} .1706765{col 58} .0033748{col 70} .0600054
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    303{col 22} .0429043{col 34}  .011424{col 46} .1988564{col 58} .0204236{col 70}  .065385
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0211049{col 34} .0228988{col 58} -.023957{col 70} .0661668
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.9217
{txt}Ho: diff = 0                                     degrees of freedom = {res}     301

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8213         {txt}Pr(|T| > |t|) = {res}0.3574          {txt}Pr(T > t) = {res}0.1787
{txt}
{com}. ttest tumorpre_new if usct==1 &  badstate==1 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    161{col 22}        0{col 34}        0{col 46}        0{col 58}        0{col 70}        0
       {txt}1 {c |}{res}{col 12}    142{col 22}        0{col 34}        0{col 46}        0{col 58}        0{col 70}        0
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    303{col 22}        0{col 34}        0{col 46}        0{col 58}        0{col 70}        0
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}        0{col 34}        0{col 58}        0{col 70}        0
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}       .
{txt}Ho: diff = 0                                     degrees of freedom = {res}     301

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}     .         {txt}Pr(|T| > |t|) = {res}     .          {txt}Pr(T > t) = {res}     .
{txt}
{com}. ttest musculoskeletalpre_new if usct==1 &  badstate==1 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    161{col 22} .0729814{col 34} .0196583{col 46} .2494365{col 58} .0341581{col 70} .1118047
       {txt}1 {c |}{res}{col 12}    142{col 22}   .07277{col 34}  .021035{col 46} .2506609{col 58} .0311852{col 70} .1143547
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    303{col 22} .0728823{col 34} .0143389{col 46} .2495965{col 58} .0446654{col 70} .1010992
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0002114{col 34} .0287821{col 58}-.0564283{col 70} .0568511
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.0073
{txt}Ho: diff = 0                                     degrees of freedom = {res}     301

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5029         {txt}Pr(|T| > |t|) = {res}0.9941          {txt}Pr(T > t) = {res}0.4971
{txt}
{com}. ttest rectumpre_new if usct==1 &  badstate==1 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    161{col 22}        0{col 34}        0{col 46}        0{col 58}        0{col 70}        0
       {txt}1 {c |}{res}{col 12}    142{col 22} .0023474{col 34} .0023474{col 46} .0279727{col 58}-.0022933{col 70} .0069881
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    303{col 22} .0011001{col 34} .0011001{col 46} .0191495{col 58}-.0010647{col 70}  .003265
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0023474{col 34} .0022041{col 58}-.0066848{col 70} .0019899
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -1.0650
{txt}Ho: diff = 0                                     degrees of freedom = {res}     301

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1439         {txt}Pr(|T| > |t|) = {res}0.2877          {txt}Pr(T > t) = {res}0.8561
{txt}
{com}. ttest mentalpre_new if usct==1 &  badstate==1 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    161{col 22} .0062112{col 34} .0062112{col 46}  .078811{col 58}-.0060553{col 70} .0184776
       {txt}1 {c |}{res}{col 12}    142{col 22} .0035211{col 34} .0035211{col 46} .0419591{col 58}-.0034399{col 70} .0104822
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    303{col 22} .0049505{col 34}  .003685{col 46} .0641442{col 58} -.002301{col 70}  .012202
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0026901{col 34} .0073951{col 58}-.0118627{col 70} .0172428
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.3638
{txt}Ho: diff = 0                                     degrees of freedom = {res}     301

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6419         {txt}Pr(|T| > |t|) = {res}0.7163          {txt}Pr(T > t) = {res}0.3581
{txt}
{com}. ttest varicosepre_new if usct==1 &  badstate==1 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    161{col 22} .0062112{col 34} .0043782{col 46} .0555534{col 58}-.0024354{col 70} .0148577
       {txt}1 {c |}{res}{col 12}    142{col 22}        0{col 34}        0{col 46}        0{col 58}        0{col 70}        0
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    303{col 22} .0033003{col 34} .0023298{col 46} .0405549{col 58}-.0012844{col 70} .0078851
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0062112{col 34} .0046629{col 58}-.0029647{col 70} .0153871
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.3321
{txt}Ho: diff = 0                                     degrees of freedom = {res}     301

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9081         {txt}Pr(|T| > |t|) = {res}0.1838          {txt}Pr(T > t) = {res}0.0919
{txt}
{com}. 
. 
. ttest weighttrimmedpre if usct==1 &  badstate==0 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    205{col 22} 151.9206{col 34}  1.36679{col 46} 19.56946{col 58} 149.2258{col 70} 154.6155
       {txt}1 {c |}{res}{col 12}    282{col 22} 152.4977{col 34} 1.187545{col 46} 19.94227{col 58} 150.1601{col 70} 154.8353
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    487{col 22} 152.2548{col 34} .8957738{col 46}   19.768{col 58} 150.4947{col 70} 154.0148
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.5770853{col 34}  1.81605{col 58}-4.145383{col 70} 2.991213
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.3178
{txt}Ho: diff = 0                                     degrees of freedom = {res}     485

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3754         {txt}Pr(|T| > |t|) = {res}0.7508          {txt}Pr(T > t) = {res}0.6246
{txt}
{com}. ttest heighttrimmedpre if usct==1 &  badstate==0 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    205{col 22}  67.3885{col 34} .1786313{col 46} 2.557611{col 58}  67.0363{col 70}  67.7407
       {txt}1 {c |}{res}{col 12}    282{col 22} 67.85783{col 34} .1645201{col 46} 2.762763{col 58} 67.53398{col 70} 68.18168
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    487{col 22} 67.66027{col 34} .1216992{col 46} 2.685666{col 58} 67.42115{col 70} 67.89939
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} -.469335{col 34} .2458309{col 58}-.9523601{col 70} .0136901
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -1.9092
{txt}Ho: diff = 0                                     degrees of freedom = {res}     485

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0284         {txt}Pr(|T| > |t|) = {res}0.0568          {txt}Pr(T > t) = {res}0.9716
{txt}
{com}. ttest agetrimmedpre if usct==1 &  badstate==0 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    205{col 22} 44.24813{col 34} .6238764{col 46}  8.93255{col 58} 43.01806{col 70}  45.4782
       {txt}1 {c |}{res}{col 12}    282{col 22} 45.37329{col 34} .5183836{col 46} 8.705141{col 58} 44.35288{col 70} 46.39369
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    487{col 22} 44.89966{col 34} .3992199{col 46} 8.810016{col 58} 44.11525{col 70} 45.68407
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-1.125156{col 34} .8078303{col 58}-2.712435{col 70} .4621234
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -1.3928
{txt}Ho: diff = 0                                     degrees of freedom = {res}     485

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0822         {txt}Pr(|T| > |t|) = {res}0.1643          {txt}Pr(T > t) = {res}0.9178
{txt}
{com}. ttest preweightdiffmean if usct==1 &  badstate==0 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}     65{col 22}-1.334615{col 34} 1.510204{col 46} 12.17566{col 58}-4.351596{col 70} 1.682365
       {txt}1 {c |}{res}{col 12}    139{col 22}-.4676263{col 34} 1.215003{col 46} 14.32468{col 58}-2.870057{col 70} 1.934804
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    204{col 22}-.7438728{col 34}  .955877{col 46} 13.65265{col 58}-2.628593{col 70} 1.140848
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.8669891{col 34} 2.055651{col 58}-4.920274{col 70} 3.186296
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.4218
{txt}Ho: diff = 0                                     degrees of freedom = {res}     202

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3368         {txt}Pr(|T| > |t|) = {res}0.6736          {txt}Pr(T > t) = {res}0.6632
{txt}
{com}. ttest infectpre_new if usct==1 &  badstate==0 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    205{col 22} .0211382{col 34} .0098038{col 46} .1403691{col 58} .0018084{col 70}  .040468
       {txt}1 {c |}{res}{col 12}    282{col 22} .0166667{col 34} .0072904{col 46}  .122426{col 58}  .002316{col 70} .0310173
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    487{col 22} .0185489{col 34} .0058981{col 46} .1301594{col 58}   .00696{col 70} .0301378
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0044715{col 34}  .011957{col 58}-.0190224{col 70} .0279655
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.3740
{txt}Ho: diff = 0                                     degrees of freedom = {res}     485

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6457         {txt}Pr(|T| > |t|) = {res}0.7086          {txt}Pr(T > t) = {res}0.3543
{txt}
{com}. ttest cardiopre_new if usct==1 &  badstate==0 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    205{col 22} .0162602{col 34} .0085497{col 46} .1224126{col 58}-.0005969{col 70} .0331172
       {txt}1 {c |}{res}{col 12}    282{col 22} .0130024{col 34} .0046726{col 46} .0784662{col 58} .0038046{col 70} .0222001
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    487{col 22} .0143737{col 34} .0044979{col 46} .0992593{col 58}  .005536{col 70} .0232114
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0032578{col 34} .0091185{col 58}-.0146589{col 70} .0211745
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.3573
{txt}Ho: diff = 0                                     degrees of freedom = {res}     485

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6395         {txt}Pr(|T| > |t|) = {res}0.7210          {txt}Pr(T > t) = {res}0.3605
{txt}
{com}. ttest eyepre_new if usct==1 &  badstate==0 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    205{col 22} .0560976{col 34} .0159243{col 46} .2280015{col 58} .0247002{col 70} .0874949
       {txt}1 {c |}{res}{col 12}    282{col 22} .0301418{col 34} .0094318{col 46} .1583877{col 58} .0115758{col 70} .0487079
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    487{col 22} .0410678{col 34} .0086561{col 46} .1910239{col 58} .0240597{col 70} .0580758
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0259557{col 34} .0175112{col 58}-.0084515{col 70} .0603629
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.4822
{txt}Ho: diff = 0                                     degrees of freedom = {res}     485

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9305         {txt}Pr(|T| > |t|) = {res}0.1389          {txt}Pr(T > t) = {res}0.0695
{txt}
{com}. ttest endocrinepre_new if usct==1 &  badstate==0 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    205{col 22}        0{col 34}        0{col 46}        0{col 58}        0{col 70}        0
       {txt}1 {c |}{res}{col 12}    282{col 22} .0035461{col 34} .0035461{col 46} .0595491{col 58}-.0034342{col 70} .0105264
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    487{col 22} .0020534{col 34} .0020534{col 46} .0453143{col 58}-.0019812{col 70}  .006088
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0035461{col 34} .0041603{col 58}-.0117205{col 70} .0046283
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.8524
{txt}Ho: diff = 0                                     degrees of freedom = {res}     485

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1972         {txt}Pr(|T| > |t|) = {res}0.3944          {txt}Pr(T > t) = {res}0.8028
{txt}
{com}. ttest gastropre_new if usct==1 &  badstate==0 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    205{col 22} .0121951{col 34} .0072851{col 46} .1043071{col 58}-.0021687{col 70} .0265589
       {txt}1 {c |}{res}{col 12}    282{col 22} .0100473{col 34} .0054256{col 46} .0911111{col 58}-.0006327{col 70} .0207272
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    487{col 22} .0109514{col 34} .0043858{col 46} .0967869{col 58} .0023339{col 70} .0195689
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0021478{col 34}  .008892{col 58}-.0153238{col 70} .0196195
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.2415
{txt}Ho: diff = 0                                     degrees of freedom = {res}     485

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5954         {txt}Pr(|T| > |t|) = {res}0.8092          {txt}Pr(T > t) = {res}0.4046
{txt}
{com}. ttest kidneypre_new if usct==1 &  badstate==0 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    205{col 22} .0219512{col 34} .0086806{col 46} .1242866{col 58} .0048361{col 70} .0390663
       {txt}1 {c |}{res}{col 12}    282{col 22} .0265957{col 34}  .009092{col 46}  .152681{col 58} .0086986{col 70} .0444929
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    487{col 22} .0246407{col 34} .0064032{col 46} .1413072{col 58} .0120592{col 70} .0372221
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0046445{col 34} .0129813{col 58} -.030151{col 70} .0208619
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.3578
{txt}Ho: diff = 0                                     degrees of freedom = {res}     485

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3603         {txt}Pr(|T| > |t|) = {res}0.7207          {txt}Pr(T > t) = {res}0.6397
{txt}
{com}. ttest abnormalresppre_new if usct==1 &  badstate==0 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    205{col 22} .0463415{col 34} .0140962{col 46} .2018269{col 58} .0185485{col 70} .0741344
       {txt}1 {c |}{res}{col 12}    282{col 22} .0236407{col 34} .0079946{col 46} .1342518{col 58} .0079038{col 70} .0393775
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    487{col 22} .0331964{col 34} .0075343{col 46} .1662683{col 58} .0183925{col 70} .0480003
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0227008{col 34} .0152415{col 58}-.0072468{col 70} .0526484
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.4894
{txt}Ho: diff = 0                                     degrees of freedom = {res}     485

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9315         {txt}Pr(|T| > |t|) = {res}0.1370          {txt}Pr(T > t) = {res}0.0685
{txt}
{com}. ttest herniapre_new if usct==1 &  badstate==0 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    205{col 22} .0853659{col 34} .0184633{col 46} .2643536{col 58} .0489626{col 70} .1217691
       {txt}1 {c |}{res}{col 12}    282{col 22}  .037234{col 34} .0111542{col 46} .1873114{col 58} .0152776{col 70} .0591905
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    487{col 22} .0574949{col 34} .0101514{col 46} .2240212{col 58} .0375489{col 70} .0774409
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0481318{col 34} .0204662{col 58} .0079185{col 70} .0883452
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  2.3518
{txt}Ho: diff = 0                                     degrees of freedom = {res}     485

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9905         {txt}Pr(|T| > |t|) = {res}0.0191          {txt}Pr(T > t) = {res}0.0095
{txt}
{com}. ttest tumorpre_new if usct==1 &  badstate==0 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    205{col 22}        0{col 34}        0{col 46}        0{col 58}        0{col 70}        0
       {txt}1 {c |}{res}{col 12}    282{col 22}  .001182{col 34}  .001182{col 46} .0198497{col 58}-.0011447{col 70} .0035088
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    487{col 22} .0006845{col 34} .0006845{col 46} .0151048{col 58}-.0006604{col 70} .0020293
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} -.001182{col 34} .0013868{col 58}-.0039068{col 70} .0015428
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.8524
{txt}Ho: diff = 0                                     degrees of freedom = {res}     485

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1972         {txt}Pr(|T| > |t|) = {res}0.3944          {txt}Pr(T > t) = {res}0.8028
{txt}
{com}. ttest musculoskeletalpre_new if usct==1 &  badstate==0 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    205{col 22} .0747967{col 34} .0169142{col 46} .2421739{col 58} .0414478{col 70} .1081457
       {txt}1 {c |}{res}{col 12}    282{col 22} .0957447{col 34} .0159851{col 46} .2684357{col 58} .0642789{col 70} .1272105
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    487{col 22} .0869268{col 34} .0116756{col 46} .2576586{col 58} .0639858{col 70} .1098677
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0209479{col 34}  .023654{col 58}-.0674248{col 70}  .025529
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.8856
{txt}Ho: diff = 0                                     degrees of freedom = {res}     485

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.1881         {txt}Pr(|T| > |t|) = {res}0.3763          {txt}Pr(T > t) = {res}0.8119
{txt}
{com}. ttest rectumpre_new if usct==1 &  badstate==0 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    205{col 22} .0390244{col 34} .0126459{col 46} .1810617{col 58}  .014091{col 70} .0639578
       {txt}1 {c |}{res}{col 12}    282{col 22} .0195035{col 34} .0076544{col 46} .1285386{col 58} .0044364{col 70} .0345707
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    487{col 22} .0277207{col 34} .0069328{col 46} .1529932{col 58} .0140988{col 70} .0413427
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0195208{col 34} .0140287{col 58}-.0080437{col 70} .0470854
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.3915
{txt}Ho: diff = 0                                     degrees of freedom = {res}     485

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9176         {txt}Pr(|T| > |t|) = {res}0.1647          {txt}Pr(T > t) = {res}0.0824
{txt}
{com}. ttest mentalpre_new if usct==1 &  badstate==0 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    205{col 22} .0243902{col 34} .0102317{col 46} .1464958{col 58} .0042168{col 70} .0445637
       {txt}1 {c |}{res}{col 12}    282{col 22} .0124113{col 34} .0062501{col 46} .1049563{col 58} .0001085{col 70} .0247142
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    487{col 22} .0174538{col 34} .0056257{col 46} .1241476{col 58} .0064002{col 70} .0285074
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0119789{col 34} .0113934{col 58}-.0104077{col 70} .0343655
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.0514
{txt}Ho: diff = 0                                     degrees of freedom = {res}     485

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8532         {txt}Pr(|T| > |t|) = {res}0.2936          {txt}Pr(T > t) = {res}0.1468
{txt}
{com}. ttest varicosepre_new if usct==1 &  badstate==0 , by(usct_sample_notsample)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    205{col 22}        0{col 34}        0{col 46}        0{col 58}        0{col 70}        0
       {txt}1 {c |}{res}{col 12}    282{col 22} .0191489{col 34} .0079882{col 46} .1341455{col 58} .0034245{col 70} .0348733
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    487{col 22} .0110883{col 34}  .004642{col 46} .1024406{col 58} .0019674{col 70} .0202092
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0191489{col 34} .0093718{col 58}-.0375632{col 70}-.0007347
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -2.0433
{txt}Ho: diff = 0                                     degrees of freedom = {res}     485

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0208         {txt}Pr(|T| > |t|) = {res}0.0416          {txt}Pr(T > t) = {res}0.9792
{txt}
{com}. 
. *Table 14
. 
. ttest infectpre_new if usct==1 & usct_rd_sample==1, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    282{col 22} .0166667{col 34} .0072904{col 46}  .122426{col 58}  .002316{col 70} .0310173
       {txt}1 {c |}{res}{col 12}    142{col 22}        0{col 34}        0{col 46}        0{col 58}        0{col 70}        0
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    424{col 22} .0110849{col 34}  .004861{col 46} .1000933{col 58} .0015303{col 70} .0206396
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0166667{col 34} .0102798{col 58}-.0035393{col 70} .0368727
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.6213
{txt}Ho: diff = 0                                     degrees of freedom = {res}     422

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9472         {txt}Pr(|T| > |t|) = {res}0.1057          {txt}Pr(T > t) = {res}0.0528
{txt}
{com}. ttest infectpre_new if usct==1 & usct_rd_sample==1 & distancemean7987<=300, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    247{col 22} .0089069{col 34} .0057664{col 46} .0906258{col 58}-.0024509{col 70} .0202647
       {txt}1 {c |}{res}{col 12}    123{col 22}        0{col 34}        0{col 46}        0{col 58}        0{col 70}        0
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    370{col 22} .0059459{col 34}  .003853{col 46} .0741148{col 58}-.0016307{col 70} .0135226
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0089069{col 34}  .008177{col 58}-.0071727{col 70} .0249864
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.0893
{txt}Ho: diff = 0                                     degrees of freedom = {res}     368

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8616         {txt}Pr(|T| > |t|) = {res}0.2768          {txt}Pr(T > t) = {res}0.1384
{txt}
{com}. ttest infectpre_new if usct==1 & usct_rd_sample==1 & distancemean7987<=200, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    196{col 22} .0112245{col 34} .0072615{col 46} .1016607{col 58}-.0030966{col 70} .0255456
       {txt}1 {c |}{res}{col 12}    101{col 22}        0{col 34}        0{col 46}        0{col 58}        0{col 70}        0
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    297{col 22} .0074074{col 34} .0047979{col 46} .0826852{col 58}-.0020349{col 70} .0168497
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0112245{col 34} .0101239{col 58}-.0086998{col 70} .0311488
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.1087
{txt}Ho: diff = 0                                     degrees of freedom = {res}     295

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8658         {txt}Pr(|T| > |t|) = {res}0.2685          {txt}Pr(T > t) = {res}0.1342
{txt}
{com}. 
. ttest cardiopre_new if usct==1 & usct_rd_sample==1, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    282{col 22} .0130024{col 34} .0046726{col 46} .0784662{col 58} .0038046{col 70} .0222001
       {txt}1 {c |}{res}{col 12}    142{col 22} .0070423{col 34} .0070423{col 46} .0839181{col 58}-.0068798{col 70} .0209643
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    424{col 22} .0110063{col 34} .0038989{col 46} .0802834{col 58} .0033426{col 70} .0186699
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0059601{col 34} .0082658{col 58}-.0102872{col 70} .0222074
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.7211
{txt}Ho: diff = 0                                     degrees of freedom = {res}     422

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7644         {txt}Pr(|T| > |t|) = {res}0.4713          {txt}Pr(T > t) = {res}0.2356
{txt}
{com}. ttest cardiopre_new if usct==1 & usct_rd_sample==1 & distancemean7987<=300, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    247{col 22} .0128205{col 34} .0049473{col 46} .0777525{col 58} .0030761{col 70} .0225649
       {txt}1 {c |}{res}{col 12}    123{col 22}        0{col 34}        0{col 46}        0{col 58}        0{col 70}        0
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    370{col 22} .0085586{col 34} .0033153{col 46}  .063772{col 58} .0020392{col 70} .0150779
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0128205{col 34} .0070155{col 58} -.000975{col 70}  .026616
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.8275
{txt}Ho: diff = 0                                     degrees of freedom = {res}     368

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9658         {txt}Pr(|T| > |t|) = {res}0.0684          {txt}Pr(T > t) = {res}0.0342
{txt}
{com}. ttest cardiopre_new if usct==1 & usct_rd_sample==1 & distancemean7987<=200, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    196{col 22} .0144558{col 34} .0059995{col 46} .0839935{col 58} .0026235{col 70} .0262881
       {txt}1 {c |}{res}{col 12}    101{col 22}        0{col 34}        0{col 46}        0{col 58}        0{col 70}        0
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    297{col 22} .0095398{col 34} .0039758{col 46}  .068518{col 58} .0017154{col 70} .0173643
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0144558{col 34} .0083645{col 58}-.0020059{col 70} .0309175
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.7282
{txt}Ho: diff = 0                                     degrees of freedom = {res}     295

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9575         {txt}Pr(|T| > |t|) = {res}0.0850          {txt}Pr(T > t) = {res}0.0425
{txt}
{com}. 
. ttest eyepre_new if usct==1 & usct_rd_sample==1, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    282{col 22} .0301418{col 34} .0094318{col 46} .1583877{col 58} .0115758{col 70} .0487079
       {txt}1 {c |}{res}{col 12}    142{col 22} .0070423{col 34} .0049619{col 46} .0591283{col 58}-.0027672{col 70} .0168517
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    424{col 22} .0224057{col 34} .0065065{col 46} .1339763{col 58} .0096166{col 70} .0351947
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0230996{col 34} .0137566{col 58}-.0039403{col 70} .0501395
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.6792
{txt}Ho: diff = 0                                     degrees of freedom = {res}     422

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9531         {txt}Pr(|T| > |t|) = {res}0.0939          {txt}Pr(T > t) = {res}0.0469
{txt}
{com}. ttest eyepre_new if usct==1 & usct_rd_sample==1 & distancemean7987<=300, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    247{col 22} .0283401{col 34} .0098181{col 46} .1543038{col 58} .0090018{col 70} .0476784
       {txt}1 {c |}{res}{col 12}    123{col 22}  .004065{col 34}  .004065{col 46} .0450835{col 58}-.0039821{col 70} .0121122
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    370{col 22} .0202703{col 34} .0067135{col 46} .1291365{col 58} .0070688{col 70} .0334718
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}  .024275{col 34} .0142142{col 58}-.0036763{col 70} .0522264
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.7078
{txt}Ho: diff = 0                                     degrees of freedom = {res}     368

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9557         {txt}Pr(|T| > |t|) = {res}0.0885          {txt}Pr(T > t) = {res}0.0443
{txt}
{com}. ttest eyepre_new if usct==1 & usct_rd_sample==1 & distancemean7987<=200, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    196{col 22} .0280612{col 34} .0110316{col 46} .1544422{col 58} .0063047{col 70} .0498178
       {txt}1 {c |}{res}{col 12}    101{col 22} .0049505{col 34} .0049505{col 46} .0497519{col 58}-.0048711{col 70} .0147721
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    297{col 22}  .020202{col 34} .0074919{col 46} .1291127{col 58} .0054579{col 70} .0349461
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0231107{col 34} .0157841{col 58}-.0079531{col 70} .0541745
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.4642
{txt}Ho: diff = 0                                     degrees of freedom = {res}     295

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9279         {txt}Pr(|T| > |t|) = {res}0.1442          {txt}Pr(T > t) = {res}0.0721
{txt}
{com}. 
. ttest endocrinepre_new if usct==1 & usct_rd_sample==1, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    282{col 22} .0035461{col 34} .0035461{col 46} .0595491{col 58}-.0034342{col 70} .0105264
       {txt}1 {c |}{res}{col 12}    142{col 22}        0{col 34}        0{col 46}        0{col 58}        0{col 70}        0
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    424{col 22} .0023585{col 34} .0023585{col 46} .0485643{col 58}-.0022773{col 70} .0069943
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0035461{col 34} .0050002{col 58}-.0062823{col 70} .0133745
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.7092
{txt}Ho: diff = 0                                     degrees of freedom = {res}     422

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7607         {txt}Pr(|T| > |t|) = {res}0.4786          {txt}Pr(T > t) = {res}0.2393
{txt}
{com}. ttest endocrinepre_new if usct==1 & usct_rd_sample==1 & distancemean7987<=300, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    247{col 22} .0040486{col 34} .0040486{col 46} .0636285{col 58}-.0039257{col 70} .0120229
       {txt}1 {c |}{res}{col 12}    123{col 22}        0{col 34}        0{col 46}        0{col 58}        0{col 70}        0
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    370{col 22} .0027027{col 34} .0027027{col 46} .0519875{col 58}-.0026119{col 70} .0080173
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0040486{col 34} .0057411{col 58}-.0072409{col 70} .0153381
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.7052
{txt}Ho: diff = 0                                     degrees of freedom = {res}     368

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7594         {txt}Pr(|T| > |t|) = {res}0.4811          {txt}Pr(T > t) = {res}0.2406
{txt}
{com}. ttest endocrinepre_new if usct==1 & usct_rd_sample==1 & distancemean7987<=200, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    196{col 22}  .005102{col 34}  .005102{col 46} .0714286{col 58}-.0049602{col 70} .0151643
       {txt}1 {c |}{res}{col 12}    101{col 22}        0{col 34}        0{col 46}        0{col 58}        0{col 70}        0
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    297{col 22}  .003367{col 34}  .003367{col 46} .0580259{col 58}-.0032593{col 70} .0099933
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}  .005102{col 34} .0071132{col 58}-.0088971{col 70} .0191012
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.7173
{txt}Ho: diff = 0                                     degrees of freedom = {res}     295

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7631         {txt}Pr(|T| > |t|) = {res}0.4738          {txt}Pr(T > t) = {res}0.2369
{txt}
{com}. 
. ttest gastropre_new if usct==1 & usct_rd_sample==1, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    282{col 22} .0100473{col 34} .0054256{col 46} .0911111{col 58}-.0006327{col 70} .0207272
       {txt}1 {c |}{res}{col 12}    142{col 22} .0305164{col 34}  .014097{col 46}  .167985{col 58} .0026477{col 70} .0583852
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    424{col 22} .0169025{col 34} .0059507{col 46} .1225332{col 58} .0052058{col 70} .0285992
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0204692{col 34} .0125842{col 58}-.0452046{col 70} .0042663
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -1.6266
{txt}Ho: diff = 0                                     degrees of freedom = {res}     422

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0523         {txt}Pr(|T| > |t|) = {res}0.1046          {txt}Pr(T > t) = {res}0.9477
{txt}
{com}. ttest gastropre_new if usct==1 & usct_rd_sample==1 & distancemean7987<=300, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    247{col 22}  .011471{col 34} .0061906{col 46} .0972928{col 58}-.0007223{col 70} .0236643
       {txt}1 {c |}{res}{col 12}    123{col 22} .0352304{col 34} .0162416{col 46} .1801285{col 58} .0030784{col 70} .0673823
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    370{col 22} .0193694{col 34} .0068109{col 46} .1310103{col 58} .0059763{col 70} .0327624
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0237594{col 34} .0144245{col 58}-.0521241{col 70} .0046053
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -1.6472
{txt}Ho: diff = 0                                     degrees of freedom = {res}     368

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0502         {txt}Pr(|T| > |t|) = {res}0.1004          {txt}Pr(T > t) = {res}0.9498
{txt}
{com}. ttest gastropre_new if usct==1 & usct_rd_sample==1 & distancemean7987<=200, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    196{col 22} .0144558{col 34} .0077914{col 46}  .109079{col 58}-.0009104{col 70} .0298219
       {txt}1 {c |}{res}{col 12}    101{col 22} .0429043{col 34} .0197138{col 46}  .198121{col 58} .0037927{col 70} .0820159
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    297{col 22} .0241302{col 34} .0084649{col 46} .1458814{col 58} .0074712{col 70} .0407892
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0284485{col 34}  .017822{col 58}-.0635229{col 70} .0066259
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -1.5963
{txt}Ho: diff = 0                                     degrees of freedom = {res}     295

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.0558         {txt}Pr(|T| > |t|) = {res}0.1115          {txt}Pr(T > t) = {res}0.9442
{txt}
{com}. 
. ttest kidneypre_new if usct==1 & usct_rd_sample==1, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    282{col 22} .0265957{col 34}  .009092{col 46}  .152681{col 58} .0086986{col 70} .0444929
       {txt}1 {c |}{res}{col 12}    142{col 22} .0105634{col 34} .0078511{col 46} .0935568{col 58}-.0049577{col 70} .0260845
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    424{col 22} .0212264{col 34} .0065985{col 46} .1358709{col 58} .0082565{col 70} .0341963
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0160324{col 34} .0139759{col 58}-.0114386{col 70} .0435033
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.1471
{txt}Ho: diff = 0                                     degrees of freedom = {res}     422

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8740         {txt}Pr(|T| > |t|) = {res}0.2520          {txt}Pr(T > t) = {res}0.1260
{txt}
{com}. ttest kidneypre_new if usct==1 & usct_rd_sample==1 & distancemean7987<=300, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    247{col 22} .0303644{col 34} .0103606{col 46}  .162829{col 58} .0099577{col 70} .0507711
       {txt}1 {c |}{res}{col 12}    123{col 22} .0121951{col 34} .0090599{col 46} .1004787{col 58}-.0057398{col 70}   .03013
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    370{col 22} .0243243{col 34} .0075493{col 46} .1452134{col 58} .0094793{col 70} .0391693
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0181693{col 34} .0160191{col 58}-.0133312{col 70} .0496697
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.1342
{txt}Ho: diff = 0                                     degrees of freedom = {res}     368

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8713         {txt}Pr(|T| > |t|) = {res}0.2574          {txt}Pr(T > t) = {res}0.1287
{txt}
{com}. ttest kidneypre_new if usct==1 & usct_rd_sample==1 & distancemean7987<=200, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    196{col 22} .0331633{col 34} .0120335{col 46} .1684688{col 58} .0094308{col 70} .0568958
       {txt}1 {c |}{res}{col 12}    101{col 22} .0148515{col 34} .0110253{col 46} .1108027{col 58}-.0070223{col 70} .0367253
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    297{col 22}  .026936{col 34} .0087849{col 46} .1513957{col 58} .0096473{col 70} .0442247
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0183118{col 34} .0185448{col 58} -.018185{col 70} .0548086
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.9874
{txt}Ho: diff = 0                                     degrees of freedom = {res}     295

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8379         {txt}Pr(|T| > |t|) = {res}0.3242          {txt}Pr(T > t) = {res}0.1621
{txt}
{com}. 
. ttest abnormalresppre_new if usct==1 & usct_rd_sample==1, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    282{col 22} .0236407{col 34} .0079946{col 46} .1342518{col 58} .0079038{col 70} .0393775
       {txt}1 {c |}{res}{col 12}    142{col 22} .0316901{col 34} .0134228{col 46} .1599511{col 58} .0051542{col 70} .0582261
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    424{col 22} .0263365{col 34}  .006956{col 46} .1432329{col 58} .0126638{col 70} .0400091
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0080495{col 34} .0147509{col 58}-.0370438{col 70} .0209449
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.5457
{txt}Ho: diff = 0                                     degrees of freedom = {res}     422

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2928         {txt}Pr(|T| > |t|) = {res}0.5856          {txt}Pr(T > t) = {res}0.7072
{txt}
{com}. ttest abnormalresppre_new if usct==1 & usct_rd_sample==1 & distancemean7987<=300, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    247{col 22}  .022942{col 34} .0082066{col 46} .1289769{col 58} .0067778{col 70} .0391061
       {txt}1 {c |}{res}{col 12}    123{col 22} .0284553{col 34}   .01329{col 46} .1473928{col 58} .0021465{col 70} .0547641
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    370{col 22} .0247748{col 34} .0070288{col 46} .1352015{col 58} .0109533{col 70} .0385963
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0055133{col 34} .0149379{col 58}-.0348877{col 70} .0238611
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.3691
{txt}Ho: diff = 0                                     degrees of freedom = {res}     368

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3561         {txt}Pr(|T| > |t|) = {res}0.7123          {txt}Pr(T > t) = {res}0.6439
{txt}
{com}. ttest abnormalresppre_new if usct==1 & usct_rd_sample==1 & distancemean7987<=200, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    196{col 22} .0272109{col 34} .0101866{col 46} .1426127{col 58} .0071208{col 70}  .047301
       {txt}1 {c |}{res}{col 12}    101{col 22}  .029703{col 34}   .01545{col 46} .1552704{col 58}-.0009494{col 70} .0603553
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    297{col 22} .0280584{col 34} .0085171{col 46} .1467818{col 58} .0112965{col 70} .0448202
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0024921{col 34} .0180087{col 58}-.0379339{col 70} .0329497
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.1384
{txt}Ho: diff = 0                                     degrees of freedom = {res}     295

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.4450         {txt}Pr(|T| > |t|) = {res}0.8900          {txt}Pr(T > t) = {res}0.5550
{txt}
{com}. 
. ttest herniapre_new if usct==1 & usct_rd_sample==1, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    282{col 22}  .037234{col 34} .0111542{col 46} .1873114{col 58} .0152776{col 70} .0591905
       {txt}1 {c |}{res}{col 12}    142{col 22} .0316901{col 34} .0143229{col 46} .1706765{col 58} .0033748{col 70} .0600054
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    424{col 22} .0353774{col 34} .0088254{col 46} .1817263{col 58} .0180302{col 70} .0527245
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0055439{col 34} .0187198{col 58}-.0312517{col 70} .0423395
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.2962
{txt}Ho: diff = 0                                     degrees of freedom = {res}     422

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.6164         {txt}Pr(|T| > |t|) = {res}0.7673          {txt}Pr(T > t) = {res}0.3836
{txt}
{com}. ttest herniapre_new if usct==1 & usct_rd_sample==1 & distancemean7987<=300, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    247{col 22} .0384615{col 34} .0120921{col 46} .1900429{col 58} .0146442{col 70} .0622789
       {txt}1 {c |}{res}{col 12}    123{col 22} .0365854{col 34}    .0165{col 46} .1829935{col 58}  .003922{col 70} .0692487
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    370{col 22} .0378378{col 34} .0097468{col 46} .1874828{col 58} .0186717{col 70}  .057004
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0018762{col 34} .0207179{col 58}-.0388641{col 70} .0426165
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.0906
{txt}Ho: diff = 0                                     degrees of freedom = {res}     368

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.5361         {txt}Pr(|T| > |t|) = {res}0.9279          {txt}Pr(T > t) = {res}0.4639
{txt}
{com}. ttest herniapre_new if usct==1 & usct_rd_sample==1 & distancemean7987<=200, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    196{col 22} .0382653{col 34} .0134975{col 46} .1889649{col 58} .0116455{col 70} .0648851
       {txt}1 {c |}{res}{col 12}    101{col 22} .0445545{col 34} .0200235{col 46} .2012338{col 58} .0048284{col 70} .0842805
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    297{col 22}  .040404{col 34} .0111936{col 46} .1929076{col 58} .0183748{col 70} .0624332
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0062891{col 34} .0236658{col 58}-.0528644{col 70} .0402861
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.2657
{txt}Ho: diff = 0                                     degrees of freedom = {res}     295

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.3953         {txt}Pr(|T| > |t|) = {res}0.7906          {txt}Pr(T > t) = {res}0.6047
{txt}
{com}. 
. ttest tumorpre_new if usct==1 & usct_rd_sample==1, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    282{col 22}  .001182{col 34}  .001182{col 46} .0198497{col 58}-.0011447{col 70} .0035088
       {txt}1 {c |}{res}{col 12}    142{col 22}        0{col 34}        0{col 46}        0{col 58}        0{col 70}        0
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    424{col 22} .0007862{col 34} .0007862{col 46} .0161881{col 58}-.0007591{col 70} .0023314
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}  .001182{col 34} .0016667{col 58}-.0020941{col 70} .0044582
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.7092
{txt}Ho: diff = 0                                     degrees of freedom = {res}     422

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7607         {txt}Pr(|T| > |t|) = {res}0.4786          {txt}Pr(T > t) = {res}0.2393
{txt}
{com}. ttest tumorpre_new if usct==1 & usct_rd_sample==1 & distancemean7987<=300, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    247{col 22} .0013495{col 34} .0013495{col 46} .0212095{col 58}-.0013086{col 70} .0040076
       {txt}1 {c |}{res}{col 12}    123{col 22}        0{col 34}        0{col 46}        0{col 58}        0{col 70}        0
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    370{col 22} .0009009{col 34} .0009009{col 46} .0173292{col 58}-.0008706{col 70} .0026724
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0013495{col 34} .0019137{col 58}-.0024136{col 70} .0051127
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.7052
{txt}Ho: diff = 0                                     degrees of freedom = {res}     368

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7594         {txt}Pr(|T| > |t|) = {res}0.4811          {txt}Pr(T > t) = {res}0.2406
{txt}
{com}. ttest tumorpre_new if usct==1 & usct_rd_sample==1 & distancemean7987<=200, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    196{col 22} .0017007{col 34} .0017007{col 46} .0238095{col 58}-.0016534{col 70} .0050548
       {txt}1 {c |}{res}{col 12}    101{col 22}        0{col 34}        0{col 46}        0{col 58}        0{col 70}        0
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    297{col 22} .0011223{col 34} .0011223{col 46}  .019342{col 58}-.0010864{col 70} .0033311
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0017007{col 34} .0023711{col 58}-.0029657{col 70} .0063671
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.7173
{txt}Ho: diff = 0                                     degrees of freedom = {res}     295

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.7631         {txt}Pr(|T| > |t|) = {res}0.4738          {txt}Pr(T > t) = {res}0.2369
{txt}
{com}. 
. ttest musculoskeletalpre_new if usct==1 & usct_rd_sample==1, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    282{col 22} .0957447{col 34} .0159851{col 46} .2684357{col 58} .0642789{col 70} .1272105
       {txt}1 {c |}{res}{col 12}    142{col 22}   .07277{col 34}  .021035{col 46} .2506609{col 58} .0311852{col 70} .1143547
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    424{col 22} .0880503{col 34} .0127503{col 46} .2625445{col 58} .0629885{col 70} .1131121
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0229747{col 34} .0270246{col 58}-.0301449{col 70} .0760944
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.8501
{txt}Ho: diff = 0                                     degrees of freedom = {res}     422

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8021         {txt}Pr(|T| > |t|) = {res}0.3957          {txt}Pr(T > t) = {res}0.1979
{txt}
{com}. ttest musculoskeletalpre_new if usct==1 & usct_rd_sample==1 & distancemean7987<=300, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    247{col 22} .1012146{col 34} .0175913{col 46} .2764685{col 58} .0665659{col 70} .1358633
       {txt}1 {c |}{res}{col 12}    123{col 22} .0718157{col 34} .0226916{col 46} .2516623{col 58} .0268954{col 70} .1167361
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    370{col 22} .0914414{col 34} .0139583{col 46} .2684931{col 58} .0639937{col 70} .1188892
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0293989{col 34} .0296307{col 58}-.0288679{col 70} .0876656
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.9922
{txt}Ho: diff = 0                                     degrees of freedom = {res}     368

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8391         {txt}Pr(|T| > |t|) = {res}0.3218          {txt}Pr(T > t) = {res}0.1609
{txt}
{com}. ttest musculoskeletalpre_new if usct==1 & usct_rd_sample==1 & distancemean7987<=200, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    196{col 22} .1028912{col 34} .0200713{col 46} .2809987{col 58} .0633064{col 70} .1424759
       {txt}1 {c |}{res}{col 12}    101{col 22} .0676568{col 34} .0241669{col 46} .2428742{col 58} .0197103{col 70} .1156032
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    297{col 22} .0909091{col 34} .0155944{col 46} .2687483{col 58} .0602192{col 70}  .121599
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0352344{col 34}   .03291{col 58}-.0295338{col 70} .1000025
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.0706
{txt}Ho: diff = 0                                     degrees of freedom = {res}     295

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8574         {txt}Pr(|T| > |t|) = {res}0.2852          {txt}Pr(T > t) = {res}0.1426
{txt}
{com}. 
. ttest rectumpre_new if usct==1 & usct_rd_sample==1, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    282{col 22} .0195035{col 34} .0076544{col 46} .1285386{col 58} .0044364{col 70} .0345707
       {txt}1 {c |}{res}{col 12}    142{col 22} .0023474{col 34} .0023474{col 46} .0279727{col 58}-.0022933{col 70} .0069881
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    424{col 22} .0137579{col 34}  .005163{col 46} .1063121{col 58} .0036096{col 70} .0239061
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0171561{col 34} .0109206{col 58}-.0043093{col 70} .0386216
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.5710
{txt}Ho: diff = 0                                     degrees of freedom = {res}     422

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9415         {txt}Pr(|T| > |t|) = {res}0.1169          {txt}Pr(T > t) = {res}0.0585
{txt}
{com}. ttest rectumpre_new if usct==1 & usct_rd_sample==1 & distancemean7987<=300, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    247{col 22} .0222672{col 34} .0087269{col 46} .1371536{col 58} .0050783{col 70} .0394561
       {txt}1 {c |}{res}{col 12}    123{col 22}   .00271{col 34}   .00271{col 46} .0300557{col 58}-.0026547{col 70} .0080748
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    370{col 22} .0157658{col 34} .0059103{col 46}  .113686{col 58} .0041438{col 70} .0273878
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0195572{col 34} .0125216{col 58}-.0050658{col 70} .0441801
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.5619
{txt}Ho: diff = 0                                     degrees of freedom = {res}     368

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9404         {txt}Pr(|T| > |t|) = {res}0.1192          {txt}Pr(T > t) = {res}0.0596
{txt}
{com}. ttest rectumpre_new if usct==1 & usct_rd_sample==1 & distancemean7987<=200, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    196{col 22} .0229592{col 34} .0104161{col 46} .1458254{col 58} .0024165{col 70} .0435019
       {txt}1 {c |}{res}{col 12}    101{col 22}        0{col 34}        0{col 46}        0{col 58}        0{col 70}        0
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    297{col 22} .0151515{col 34}  .006897{col 46} .1188603{col 58} .0015782{col 70} .0287248
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0229592{col 34} .0145221{col 58}-.0056208{col 70} .0515392
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.5810
{txt}Ho: diff = 0                                     degrees of freedom = {res}     295

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9425         {txt}Pr(|T| > |t|) = {res}0.1150          {txt}Pr(T > t) = {res}0.0575
{txt}
{com}. 
. ttest mentalpre_new if usct==1 & usct_rd_sample==1, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    282{col 22} .0124113{col 34} .0062501{col 46} .1049563{col 58} .0001085{col 70} .0247142
       {txt}1 {c |}{res}{col 12}    142{col 22} .0035211{col 34} .0035211{col 46} .0419591{col 58}-.0034399{col 70} .0104822
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    424{col 22}  .009434{col 34} .0043226{col 46} .0890076{col 58} .0009375{col 70} .0179304
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0088902{col 34} .0091595{col 58}-.0091137{col 70} .0268941
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  0.9706
{txt}Ho: diff = 0                                     degrees of freedom = {res}     422

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.8338         {txt}Pr(|T| > |t|) = {res}0.3323          {txt}Pr(T > t) = {res}0.1662
{txt}
{com}. ttest mentalpre_new if usct==1 & usct_rd_sample==1 & distancemean7987<=300, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    247{col 22} .0020243{col 34} .0015064{col 46} .0236743{col 58}-.0009427{col 70} .0049913
       {txt}1 {c |}{res}{col 12}    123{col 22}  .004065{col 34}  .004065{col 46} .0450835{col 58}-.0039821{col 70} .0121122
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    370{col 22} .0027027{col 34} .0016818{col 46} .0323508{col 58}-.0006045{col 70} .0060099
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0020407{col 34} .0035734{col 58}-.0090676{col 70} .0049861
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.5711
{txt}Ho: diff = 0                                     degrees of freedom = {res}     368

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2841         {txt}Pr(|T| > |t|) = {res}0.5683          {txt}Pr(T > t) = {res}0.7159
{txt}
{com}. ttest mentalpre_new if usct==1 & usct_rd_sample==1 & distancemean7987<=200, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    196{col 22}  .002551{col 34} .0018975{col 46} .0265652{col 58}-.0011913{col 70} .0062933
       {txt}1 {c |}{res}{col 12}    101{col 22} .0049505{col 34} .0049505{col 46} .0497519{col 58}-.0048711{col 70} .0147721
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    297{col 22}  .003367{col 34} .0020941{col 46} .0360893{col 58}-.0007542{col 70} .0074882
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22}-.0023995{col 34} .0044257{col 58}-.0111095{col 70} .0063106
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res} -0.5422
{txt}Ho: diff = 0                                     degrees of freedom = {res}     295

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.2941         {txt}Pr(|T| > |t|) = {res}0.5881          {txt}Pr(T > t) = {res}0.7059
{txt}
{com}. 
. ttest varicosepre_new if usct==1 & usct_rd_sample==1, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    282{col 22} .0191489{col 34} .0079882{col 46} .1341455{col 58} .0034245{col 70} .0348733
       {txt}1 {c |}{res}{col 12}    142{col 22}        0{col 34}        0{col 46}        0{col 58}        0{col 70}        0
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    424{col 22} .0127358{col 34} .0053279{col 46} .1097087{col 58} .0022633{col 70} .0232084
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0191489{col 34} .0112639{col 58}-.0029913{col 70} .0412892
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.7000
{txt}Ho: diff = 0                                     degrees of freedom = {res}     422

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9551         {txt}Pr(|T| > |t|) = {res}0.0899          {txt}Pr(T > t) = {res}0.0449
{txt}
{com}. ttest varicosepre_new if usct==1 & usct_rd_sample==1 & distancemean7987<=300, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    247{col 22} .0218623{col 34} .0091093{col 46} .1431632{col 58} .0039203{col 70} .0398044
       {txt}1 {c |}{res}{col 12}    123{col 22}        0{col 34}        0{col 46}        0{col 58}        0{col 70}        0
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    370{col 22} .0145946{col 34} .0061005{col 46} .1173463{col 58} .0025984{col 70} .0265908
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0218623{col 34} .0129174{col 58}-.0035388{col 70} .0472635
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.6925
{txt}Ho: diff = 0                                     degrees of freedom = {res}     368

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9543         {txt}Pr(|T| > |t|) = {res}0.0914          {txt}Pr(T > t) = {res}0.0457
{txt}
{com}. ttest varicosepre_new if usct==1 & usct_rd_sample==1 & distancemean7987<=200, by(badstatemean7987)

{txt}Two-sample t test with equal variances
{hline 9}{c TT}{hline 68}
   Group{col 10}{c |}{col 16}Obs{col 27}Mean{col 35}Std. Err.{col 47}Std. Dev.{col 59}[95% Conf. Interval]
{hline 9}{c +}{hline 68}
       0 {c |}{res}{col 12}    196{col 22} .0173469{col 34} .0090076{col 46} .1261058{col 58}-.0004178{col 70} .0351117
       {txt}1 {c |}{res}{col 12}    101{col 22}        0{col 34}        0{col 46}        0{col 58}        0{col 70}        0
{txt}{hline 9}{c +}{hline 68}
combined {c |}{res}{col 12}    297{col 22} .0114478{col 34} .0059584{col 46} .1026849{col 58}-.0002783{col 70}  .023174
{txt}{hline 9}{c +}{hline 68}
    diff {c |}{res}{col 22} .0173469{col 34} .0125583{col 58}-.0073683{col 70} .0420621
{txt}{hline 9}{c BT}{hline 68}
    diff = mean({res}0{txt}) - mean({res}1{txt})                                      t = {res}  1.3813
{txt}Ho: diff = 0                                     degrees of freedom = {res}     295

    {txt}Ha: diff < 0                 Ha: diff != 0                 Ha: diff > 0
 Pr(T < t) = {res}0.9159         {txt}Pr(|T| > |t|) = {res}0.1682          {txt}Pr(T > t) = {res}0.0841
{txt}
{com}. 
. *Table 15
. 
. eststo m1: reg weighttrimmed badstate_post i.year i.state_num if usct_rd_sample_mean==1 & preweightdiffmean~=., cluster(distancemean_7987_20)

{txt}Linear regression                               Number of obs     = {res}       639
                                                {txt}{help j_robustsingular:F(31, 42) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1423
                                                {txt}Root MSE          =    {res} 20.613

{txt}{ralign 79:(Std. Err. adjusted for {res:43} clusters in distancemean_7987_20)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}weighttrimmed{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post {c |}{col 15}{res}{space 2}-4.600101{col 27}{space 2} 2.395358{col 38}{space 1}   -1.92{col 47}{space 3}0.062{col 55}{space 4}-9.434128{col 68}{space 3} .2339266
{txt}{space 13} {c |}
{space 9}year {c |}
{space 8}1880  {c |}{col 15}{res}{space 2} 1.567889{col 27}{space 2} 7.124875{col 38}{space 1}    0.22{col 47}{space 3}0.827{col 55}{space 4}-12.81069{col 68}{space 3} 15.94647
{txt}{space 8}1881  {c |}{col 15}{res}{space 2} 2.606531{col 27}{space 2} 6.317733{col 38}{space 1}    0.41{col 47}{space 3}0.682{col 55}{space 4}-10.14317{col 68}{space 3} 15.35623
{txt}{space 8}1882  {c |}{col 15}{res}{space 2} 7.594098{col 27}{space 2} 6.699767{col 38}{space 1}    1.13{col 47}{space 3}0.263{col 55}{space 4} -5.92658{col 68}{space 3} 21.11478
{txt}{space 8}1883  {c |}{col 15}{res}{space 2} 4.351644{col 27}{space 2} 6.530006{col 38}{space 1}    0.67{col 47}{space 3}0.509{col 55}{space 4}-8.826442{col 68}{space 3} 17.52973
{txt}{space 8}1884  {c |}{col 15}{res}{space 2} 5.752922{col 27}{space 2} 8.169605{col 38}{space 1}    0.70{col 47}{space 3}0.485{col 55}{space 4}-10.73401{col 68}{space 3} 22.23985
{txt}{space 8}1885  {c |}{col 15}{res}{space 2} 8.620884{col 27}{space 2} 5.719483{col 38}{space 1}    1.51{col 47}{space 3}0.139{col 55}{space 4}  -2.9215{col 68}{space 3} 20.16327
{txt}{space 8}1886  {c |}{col 15}{res}{space 2} 4.972114{col 27}{space 2} 5.888554{col 38}{space 1}    0.84{col 47}{space 3}0.403{col 55}{space 4} -6.91147{col 68}{space 3}  16.8557
{txt}{space 8}1887  {c |}{col 15}{res}{space 2} 11.09381{col 27}{space 2} 6.381359{col 38}{space 1}    1.74{col 47}{space 3}0.089{col 55}{space 4}-1.784291{col 68}{space 3} 23.97192
{txt}{space 13} {c |}
{space 4}state_num {c |}
{space 11}3  {c |}{col 15}{res}{space 2} 26.36379{col 27}{space 2}  10.3473{col 38}{space 1}    2.55{col 47}{space 3}0.015{col 55}{space 4} 5.482092{col 68}{space 3} 47.24548
{txt}{space 10}10  {c |}{col 15}{res}{space 2}-18.91714{col 27}{space 2} 3.475193{col 38}{space 1}   -5.44{col 47}{space 3}0.000{col 55}{space 4}-25.93036{col 68}{space 3}-11.90391
{txt}{space 10}11  {c |}{col 15}{res}{space 2}-12.03292{col 27}{space 2} 3.525524{col 38}{space 1}   -3.41{col 47}{space 3}0.001{col 55}{space 4}-19.14772{col 68}{space 3}-4.918124
{txt}{space 10}12  {c |}{col 15}{res}{space 2} -10.3655{col 27}{space 2} 4.984236{col 38}{space 1}   -2.08{col 47}{space 3}0.044{col 55}{space 4}-20.42409{col 68}{space 3} -.306904
{txt}{space 10}14  {c |}{col 15}{res}{space 2}-30.18365{col 27}{space 2} 3.134899{col 38}{space 1}   -9.63{col 47}{space 3}0.000{col 55}{space 4}-36.51013{col 68}{space 3}-23.85717
{txt}{space 10}18  {c |}{col 15}{res}{space 2}-14.02282{col 27}{space 2} 3.549005{col 38}{space 1}   -3.95{col 47}{space 3}0.000{col 55}{space 4}-21.18501{col 68}{space 3}-6.860641
{txt}{space 10}20  {c |}{col 15}{res}{space 2} 2.402505{col 27}{space 2} 12.85365{col 38}{space 1}    0.19{col 47}{space 3}0.853{col 55}{space 4}-23.53722{col 68}{space 3} 28.34223
{txt}{space 10}21  {c |}{col 15}{res}{space 2}-10.34207{col 27}{space 2} 5.583886{col 38}{space 1}   -1.85{col 47}{space 3}0.071{col 55}{space 4}-21.61081{col 68}{space 3} .9266688
{txt}{space 10}25  {c |}{col 15}{res}{space 2}-10.50171{col 27}{space 2} 4.646151{col 38}{space 1}   -2.26{col 47}{space 3}0.029{col 55}{space 4}-19.87802{col 68}{space 3}-1.125394
{txt}{space 10}26  {c |}{col 15}{res}{space 2}-18.42113{col 27}{space 2} 18.87309{col 38}{space 1}   -0.98{col 47}{space 3}0.335{col 55}{space 4}-56.50858{col 68}{space 3} 19.66631
{txt}{space 10}27  {c |}{col 15}{res}{space 2}-6.672818{col 27}{space 2} 3.776369{col 38}{space 1}   -1.77{col 47}{space 3}0.084{col 55}{space 4}-14.29384{col 68}{space 3} .9482025
{txt}{space 10}28  {c |}{col 15}{res}{space 2} -1.79034{col 27}{space 2} 7.346627{col 38}{space 1}   -0.24{col 47}{space 3}0.809{col 55}{space 4}-16.61643{col 68}{space 3} 13.03575
{txt}{space 10}29  {c |}{col 15}{res}{space 2}-13.49175{col 27}{space 2}  3.40845{col 38}{space 1}   -3.96{col 47}{space 3}0.000{col 55}{space 4}-20.37028{col 68}{space 3}-6.613217
{txt}{space 10}30  {c |}{col 15}{res}{space 2}-18.23974{col 27}{space 2} 4.711117{col 38}{space 1}   -3.87{col 47}{space 3}0.000{col 55}{space 4}-27.74716{col 68}{space 3}-8.732317
{txt}{space 10}31  {c |}{col 15}{res}{space 2} -14.1897{col 27}{space 2}  4.71044{col 38}{space 1}   -3.01{col 47}{space 3}0.004{col 55}{space 4}-23.69576{col 68}{space 3}-4.683652
{txt}{space 10}32  {c |}{col 15}{res}{space 2}-17.82669{col 27}{space 2} 4.247209{col 38}{space 1}   -4.20{col 47}{space 3}0.000{col 55}{space 4}-26.39791{col 68}{space 3}-9.255477
{txt}{space 10}33  {c |}{col 15}{res}{space 2}-3.297473{col 27}{space 2} 8.252379{col 38}{space 1}   -0.40{col 47}{space 3}0.691{col 55}{space 4}-19.95145{col 68}{space 3}  13.3565
{txt}{space 10}34  {c |}{col 15}{res}{space 2}-47.23303{col 27}{space 2} 3.647312{col 38}{space 1}  -12.95{col 47}{space 3}0.000{col 55}{space 4} -54.5936{col 68}{space 3}-39.87245
{txt}{space 10}38  {c |}{col 15}{res}{space 2}-8.912707{col 27}{space 2} 3.944116{col 38}{space 1}   -2.26{col 47}{space 3}0.029{col 55}{space 4}-16.87226{col 68}{space 3} -.953159
{txt}{space 10}39  {c |}{col 15}{res}{space 2} 25.98916{col 27}{space 2} 9.220995{col 38}{space 1}    2.82{col 47}{space 3}0.007{col 55}{space 4} 7.380435{col 68}{space 3} 44.59788
{txt}{space 10}40  {c |}{col 15}{res}{space 2}-32.99855{col 27}{space 2} 3.569859{col 38}{space 1}   -9.24{col 47}{space 3}0.000{col 55}{space 4}-40.20282{col 68}{space 3}-25.79429
{txt}{space 10}42  {c |}{col 15}{res}{space 2}-2.636639{col 27}{space 2} 9.510164{col 38}{space 1}   -0.28{col 47}{space 3}0.783{col 55}{space 4}-21.82893{col 68}{space 3} 16.55565
{txt}{space 10}48  {c |}{col 15}{res}{space 2}-7.504725{col 27}{space 2} 5.984665{col 38}{space 1}   -1.25{col 47}{space 3}0.217{col 55}{space 4}-19.58227{col 68}{space 3} 4.572817
{txt}{space 10}49  {c |}{col 15}{res}{space 2}-13.84708{col 27}{space 2} 5.578915{col 38}{space 1}   -2.48{col 47}{space 3}0.017{col 55}{space 4}-25.10579{col 68}{space 3}-2.588377
{txt}{space 10}53  {c |}{col 15}{res}{space 2}-10.65764{col 27}{space 2} 3.478724{col 38}{space 1}   -3.06{col 47}{space 3}0.004{col 55}{space 4}-17.67799{col 68}{space 3}-3.637292
{txt}{space 10}56  {c |}{col 15}{res}{space 2}-6.775675{col 27}{space 2} 8.415266{col 38}{space 1}   -0.81{col 47}{space 3}0.425{col 55}{space 4}-23.75837{col 68}{space 3} 10.20702
{txt}{space 10}59  {c |}{col 15}{res}{space 2}-44.62199{col 27}{space 2}  3.15955{col 38}{space 1}  -14.12{col 47}{space 3}0.000{col 55}{space 4}-50.99822{col 68}{space 3}-38.24576
{txt}{space 10}62  {c |}{col 15}{res}{space 2}-14.37043{col 27}{space 2} 6.520718{col 38}{space 1}   -2.20{col 47}{space 3}0.033{col 55}{space 4}-27.52978{col 68}{space 3}-1.211093
{txt}{space 10}65  {c |}{col 15}{res}{space 2} 7.667885{col 27}{space 2} 5.239154{col 38}{space 1}    1.46{col 47}{space 3}0.151{col 55}{space 4}-2.905156{col 68}{space 3} 18.24093
{txt}{space 10}67  {c |}{col 15}{res}{space 2}-24.40496{col 27}{space 2} 6.258863{col 38}{space 1}   -3.90{col 47}{space 3}0.000{col 55}{space 4}-37.03585{col 68}{space 3}-11.77406
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}  157.652{col 27}{space 2} 6.933714{col 38}{space 1}   22.74{col 47}{space 3}0.000{col 55}{space 4} 143.6592{col 68}{space 3} 171.6448
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m2: reg weighttrimmed badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm preweightdiffmean if usct_rd_sample_mean==1 & preweightdiffmean~=., cluster(distancemean_7987_20)

{txt}Linear regression                               Number of obs     = {res}       601
                                                {txt}{help j_robustsingular:F(38, 42) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2542
                                                {txt}Root MSE          =    {res} 19.307

{txt}{ralign 83:(Std. Err. adjusted for {res:43} clusters in distancemean_7987_20)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}    weighttrimmed{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}badstate_post {c |}{col 19}{res}{space 2}-5.018745{col 31}{space 2} 2.523551{col 42}{space 1}   -1.99{col 51}{space 3}0.053{col 59}{space 4}-10.11148{col 72}{space 3}  .073987
{txt}{space 17} {c |}
{space 13}year {c |}
{space 12}1880  {c |}{col 19}{res}{space 2} 1.531545{col 31}{space 2} 5.402477{col 42}{space 1}    0.28{col 51}{space 3}0.778{col 59}{space 4}-9.371094{col 72}{space 3} 12.43418
{txt}{space 12}1881  {c |}{col 19}{res}{space 2} 3.678016{col 31}{space 2} 4.991003{col 42}{space 1}    0.74{col 51}{space 3}0.465{col 59}{space 4}-6.394237{col 72}{space 3} 13.75027
{txt}{space 12}1882  {c |}{col 19}{res}{space 2} 5.389657{col 31}{space 2}   5.5913{col 42}{space 1}    0.96{col 51}{space 3}0.341{col 59}{space 4}-5.894043{col 72}{space 3} 16.67336
{txt}{space 12}1883  {c |}{col 19}{res}{space 2} 4.823352{col 31}{space 2} 5.069894{col 42}{space 1}    0.95{col 51}{space 3}0.347{col 59}{space 4}-5.408109{col 72}{space 3} 15.05481
{txt}{space 12}1884  {c |}{col 19}{res}{space 2} 6.576614{col 31}{space 2} 7.135677{col 42}{space 1}    0.92{col 51}{space 3}0.362{col 59}{space 4}-7.823765{col 72}{space 3} 20.97699
{txt}{space 12}1885  {c |}{col 19}{res}{space 2} 8.327841{col 31}{space 2} 4.877636{col 42}{space 1}    1.71{col 51}{space 3}0.095{col 59}{space 4}-1.515627{col 72}{space 3} 18.17131
{txt}{space 12}1886  {c |}{col 19}{res}{space 2} 5.349227{col 31}{space 2} 5.396953{col 42}{space 1}    0.99{col 51}{space 3}0.327{col 59}{space 4}-5.542264{col 72}{space 3} 16.24072
{txt}{space 12}1887  {c |}{col 19}{res}{space 2} 12.23051{col 31}{space 2} 5.104827{col 42}{space 1}    2.40{col 51}{space 3}0.021{col 59}{space 4} 1.928553{col 72}{space 3} 22.53247
{txt}{space 17} {c |}
{space 8}state_num {c |}
{space 15}3  {c |}{col 19}{res}{space 2} 10.45672{col 31}{space 2}  12.6412{col 42}{space 1}    0.83{col 51}{space 3}0.413{col 59}{space 4}-15.05425{col 72}{space 3} 35.96769
{txt}{space 14}10  {c |}{col 19}{res}{space 2}-1.436938{col 31}{space 2} 9.840569{col 42}{space 1}   -0.15{col 51}{space 3}0.885{col 59}{space 4}-21.29601{col 72}{space 3} 18.42213
{txt}{space 14}11  {c |}{col 19}{res}{space 2}-14.57538{col 31}{space 2} 11.02323{col 42}{space 1}   -1.32{col 51}{space 3}0.193{col 59}{space 4}-36.82116{col 72}{space 3} 7.670411
{txt}{space 14}12  {c |}{col 19}{res}{space 2}-5.603821{col 31}{space 2}  6.88243{col 42}{space 1}   -0.81{col 51}{space 3}0.420{col 59}{space 4}-19.49313{col 72}{space 3} 8.285486
{txt}{space 14}14  {c |}{col 19}{res}{space 2}-27.39891{col 31}{space 2}  9.23481{col 42}{space 1}   -2.97{col 51}{space 3}0.005{col 59}{space 4}-46.03551{col 72}{space 3}-8.762311
{txt}{space 14}18  {c |}{col 19}{res}{space 2}-14.64686{col 31}{space 2} 8.075645{col 42}{space 1}   -1.81{col 51}{space 3}0.077{col 59}{space 4}-30.94417{col 72}{space 3} 1.650451
{txt}{space 14}20  {c |}{col 19}{res}{space 2} 9.670029{col 31}{space 2} 15.73736{col 42}{space 1}    0.61{col 51}{space 3}0.542{col 59}{space 4}-22.08924{col 72}{space 3}  41.4293
{txt}{space 14}21  {c |}{col 19}{res}{space 2}-2.557701{col 31}{space 2} 9.636288{col 42}{space 1}   -0.27{col 51}{space 3}0.792{col 59}{space 4}-22.00452{col 72}{space 3} 16.88911
{txt}{space 14}25  {c |}{col 19}{res}{space 2}-4.063157{col 31}{space 2} 8.321906{col 42}{space 1}   -0.49{col 51}{space 3}0.628{col 59}{space 4}-20.85744{col 72}{space 3} 12.73113
{txt}{space 14}26  {c |}{col 19}{res}{space 2}-18.34197{col 31}{space 2} 13.06595{col 42}{space 1}   -1.40{col 51}{space 3}0.168{col 59}{space 4}-44.71013{col 72}{space 3} 8.026185
{txt}{space 14}27  {c |}{col 19}{res}{space 2}  -32.069{col 31}{space 2}  13.0571{col 42}{space 1}   -2.46{col 51}{space 3}0.018{col 59}{space 4} -58.4193{col 72}{space 3}-5.718704
{txt}{space 14}28  {c |}{col 19}{res}{space 2} 11.02098{col 31}{space 2} 11.57177{col 42}{space 1}    0.95{col 51}{space 3}0.346{col 59}{space 4}-12.33181{col 72}{space 3} 34.37377
{txt}{space 14}29  {c |}{col 19}{res}{space 2} -7.11851{col 31}{space 2} 6.531002{col 42}{space 1}   -1.09{col 51}{space 3}0.282{col 59}{space 4}-20.29861{col 72}{space 3} 6.061587
{txt}{space 14}30  {c |}{col 19}{res}{space 2}-11.95066{col 31}{space 2} 9.649316{col 42}{space 1}   -1.24{col 51}{space 3}0.222{col 59}{space 4}-31.42377{col 72}{space 3} 7.522447
{txt}{space 14}31  {c |}{col 19}{res}{space 2}-6.896431{col 31}{space 2} 8.708991{col 42}{space 1}   -0.79{col 51}{space 3}0.433{col 59}{space 4}-24.47189{col 72}{space 3} 10.67902
{txt}{space 14}32  {c |}{col 19}{res}{space 2}-11.71544{col 31}{space 2} 9.644785{col 42}{space 1}   -1.21{col 51}{space 3}0.231{col 59}{space 4} -31.1794{col 72}{space 3} 7.748526
{txt}{space 14}33  {c |}{col 19}{res}{space 2}-1.184585{col 31}{space 2} 11.37034{col 42}{space 1}   -0.10{col 51}{space 3}0.918{col 59}{space 4}-24.13086{col 72}{space 3} 21.76169
{txt}{space 14}34  {c |}{col 19}{res}{space 2}-32.90691{col 31}{space 2} 9.688072{col 42}{space 1}   -3.40{col 51}{space 3}0.002{col 59}{space 4}-52.45823{col 72}{space 3}-13.35559
{txt}{space 14}38  {c |}{col 19}{res}{space 2}-21.00351{col 31}{space 2} 5.923108{col 42}{space 1}   -3.55{col 51}{space 3}0.001{col 59}{space 4}-32.95683{col 72}{space 3}-9.050197
{txt}{space 14}39  {c |}{col 19}{res}{space 2}  20.7744{col 31}{space 2} 18.26662{col 42}{space 1}    1.14{col 51}{space 3}0.262{col 59}{space 4}-16.08913{col 72}{space 3} 57.63793
{txt}{space 14}40  {c |}{col 19}{res}{space 2}-24.63634{col 31}{space 2} 10.98747{col 42}{space 1}   -2.24{col 51}{space 3}0.030{col 59}{space 4}-46.80995{col 72}{space 3}-2.462722
{txt}{space 14}42  {c |}{col 19}{res}{space 2} 7.474343{col 31}{space 2} 10.21005{col 42}{space 1}    0.73{col 51}{space 3}0.468{col 59}{space 4}-13.13037{col 72}{space 3} 28.07906
{txt}{space 14}48  {c |}{col 19}{res}{space 2} 1.533496{col 31}{space 2} 10.24695{col 42}{space 1}    0.15{col 51}{space 3}0.882{col 59}{space 4} -19.1457{col 72}{space 3} 22.21269
{txt}{space 14}49  {c |}{col 19}{res}{space 2}-6.956006{col 31}{space 2}  8.67622{col 42}{space 1}   -0.80{col 51}{space 3}0.427{col 59}{space 4}-24.46533{col 72}{space 3} 10.55332
{txt}{space 14}53  {c |}{col 19}{res}{space 2}-.7183831{col 31}{space 2} 8.431417{col 42}{space 1}   -0.09{col 51}{space 3}0.933{col 59}{space 4}-17.73367{col 72}{space 3}  16.2969
{txt}{space 14}56  {c |}{col 19}{res}{space 2} 7.426211{col 31}{space 2} 13.43761{col 42}{space 1}    0.55{col 51}{space 3}0.583{col 59}{space 4}-19.69199{col 72}{space 3} 34.54441
{txt}{space 14}59  {c |}{col 19}{res}{space 2}-48.67661{col 31}{space 2} 8.429115{col 42}{space 1}   -5.77{col 51}{space 3}0.000{col 59}{space 4}-65.68725{col 72}{space 3}-31.66596
{txt}{space 14}62  {c |}{col 19}{res}{space 2}-16.68833{col 31}{space 2} 7.756349{col 42}{space 1}   -2.15{col 51}{space 3}0.037{col 59}{space 4}-32.34127{col 72}{space 3} -1.03538
{txt}{space 14}65  {c |}{col 19}{res}{space 2}-5.576456{col 31}{space 2} 6.367103{col 42}{space 1}   -0.88{col 51}{space 3}0.386{col 59}{space 4}-18.42579{col 72}{space 3} 7.272877
{txt}{space 14}67  {c |}{col 19}{res}{space 2}-14.65513{col 31}{space 2} 9.990319{col 42}{space 1}   -1.47{col 51}{space 3}0.150{col 59}{space 4}-34.81641{col 72}{space 3} 5.506149
{txt}{space 17} {c |}
{space 7}agetrimmed {c |}{col 19}{res}{space 2} .0066146{col 31}{space 2}  .179417{col 42}{space 1}    0.04{col 51}{space 3}0.971{col 59}{space 4}-.3554636{col 72}{space 3} .3686927
{txt}{space 4}heighttrimmed {c |}{col 19}{res}{space 2} 2.577627{col 31}{space 2} .5621821{col 42}{space 1}    4.59{col 51}{space 3}0.000{col 59}{space 4} 1.443097{col 72}{space 3} 3.712156
{txt}{space 5}percentblack {c |}{col 19}{res}{space 2} 24.70189{col 31}{space 2} 17.89266{col 42}{space 1}    1.38{col 51}{space 3}0.175{col 59}{space 4}-11.40695{col 72}{space 3} 60.81073
{txt}{space 6}manufoutput {c |}{col 19}{res}{space 2}-.0385427{col 31}{space 2} .0310555{col 42}{space 1}   -1.24{col 51}{space 3}0.221{col 59}{space 4}-.1012153{col 72}{space 3} .0241298
{txt}{space 12}urban {c |}{col 19}{res}{space 2} 10.52751{col 31}{space 2} 8.840724{col 42}{space 1}    1.19{col 51}{space 3}0.240{col 59}{space 4}-7.313794{col 72}{space 3} 28.36881
{txt}{space 3}proportionfarm {c |}{col 19}{res}{space 2} 1.320666{col 31}{space 2} 7.373968{col 42}{space 1}    0.18{col 51}{space 3}0.859{col 59}{space 4} -13.5606{col 72}{space 3} 16.20194
{txt}preweightdiffmean {c |}{col 19}{res}{space 2} .1552525{col 31}{space 2} .0561912{col 42}{space 1}    2.76{col 51}{space 3}0.008{col 59}{space 4}  .041854{col 72}{space 3} .2686509
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-26.44088{col 31}{space 2} 50.55167{col 42}{space 1}   -0.52{col 51}{space 3}0.604{col 59}{space 4}-128.4583{col 72}{space 3} 75.57652
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. eststo m3: reg weighttrimmed badstate_post i.year i.state_num if usct_rd_sample_mean==1 & preweightdiffmean~=. & distancemean7987<300 , cluster(distancemean_7987_20)

{txt}Linear regression                               Number of obs     = {res}       563
                                                {txt}{help j_robustsingular:F(26, 27) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1142
                                                {txt}Root MSE          =    {res} 20.242

{txt}{ralign 79:(Std. Err. adjusted for {res:28} clusters in distancemean_7987_20)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}weighttrimmed{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post {c |}{col 15}{res}{space 2}-4.348304{col 27}{space 2} 2.512761{col 38}{space 1}   -1.73{col 47}{space 3}0.095{col 55}{space 4}-9.504063{col 68}{space 3} .8074555
{txt}{space 13} {c |}
{space 9}year {c |}
{space 8}1880  {c |}{col 15}{res}{space 2} 1.267286{col 27}{space 2} 9.585041{col 38}{space 1}    0.13{col 47}{space 3}0.896{col 55}{space 4}-18.39959{col 68}{space 3} 20.93417
{txt}{space 8}1881  {c |}{col 15}{res}{space 2} 3.552625{col 27}{space 2} 8.974883{col 38}{space 1}    0.40{col 47}{space 3}0.695{col 55}{space 4}-14.86231{col 68}{space 3} 21.96756
{txt}{space 8}1882  {c |}{col 15}{res}{space 2} 8.381305{col 27}{space 2} 9.385906{col 38}{space 1}    0.89{col 47}{space 3}0.380{col 55}{space 4}-10.87698{col 68}{space 3} 27.63959
{txt}{space 8}1883  {c |}{col 15}{res}{space 2}  5.41535{col 27}{space 2} 9.071399{col 38}{space 1}    0.60{col 47}{space 3}0.556{col 55}{space 4}-13.19762{col 68}{space 3} 24.02832
{txt}{space 8}1884  {c |}{col 15}{res}{space 2} 7.887132{col 27}{space 2} 10.71362{col 38}{space 1}    0.74{col 47}{space 3}0.468{col 55}{space 4} -14.0954{col 68}{space 3} 29.86966
{txt}{space 8}1885  {c |}{col 15}{res}{space 2} 9.673716{col 27}{space 2} 8.330107{col 38}{space 1}    1.16{col 47}{space 3}0.256{col 55}{space 4}-7.418251{col 68}{space 3} 26.76568
{txt}{space 8}1886  {c |}{col 15}{res}{space 2} 4.861466{col 27}{space 2} 8.627309{col 38}{space 1}    0.56{col 47}{space 3}0.578{col 55}{space 4}-12.84031{col 68}{space 3} 22.56324
{txt}{space 8}1887  {c |}{col 15}{res}{space 2} 11.86766{col 27}{space 2} 9.037223{col 38}{space 1}    1.31{col 47}{space 3}0.200{col 55}{space 4}-6.675189{col 68}{space 3} 30.41051
{txt}{space 13} {c |}
{space 4}state_num {c |}
{space 11}3  {c |}{col 15}{res}{space 2} 26.03225{col 27}{space 2} 10.24541{col 38}{space 1}    2.54{col 47}{space 3}0.017{col 55}{space 4} 5.010399{col 68}{space 3}  47.0541
{txt}{space 10}10  {c |}{col 15}{res}{space 2}-19.04052{col 27}{space 2} 3.334903{col 38}{space 1}   -5.71{col 47}{space 3}0.000{col 55}{space 4}-25.88317{col 68}{space 3}-12.19786
{txt}{space 10}11  {c |}{col 15}{res}{space 2} -12.3093{col 27}{space 2} 3.362945{col 38}{space 1}   -3.66{col 47}{space 3}0.001{col 55}{space 4}-19.20949{col 68}{space 3}-5.409103
{txt}{space 10}12  {c |}{col 15}{res}{space 2}-10.68626{col 27}{space 2} 4.982677{col 38}{space 1}   -2.14{col 47}{space 3}0.041{col 55}{space 4}-20.90987{col 68}{space 3}-.4626534
{txt}{space 10}18  {c |}{col 15}{res}{space 2}-14.52915{col 27}{space 2} 3.467992{col 38}{space 1}   -4.19{col 47}{space 3}0.000{col 55}{space 4}-21.64488{col 68}{space 3}-7.413419
{txt}{space 10}20  {c |}{col 15}{res}{space 2} .1918301{col 27}{space 2} 12.79895{col 38}{space 1}    0.01{col 47}{space 3}0.988{col 55}{space 4}-26.06944{col 68}{space 3}  26.4531
{txt}{space 10}21  {c |}{col 15}{res}{space 2}-10.88191{col 27}{space 2} 5.410394{col 38}{space 1}   -2.01{col 47}{space 3}0.054{col 55}{space 4}-21.98312{col 68}{space 3} .2193015
{txt}{space 10}25  {c |}{col 15}{res}{space 2}-10.82699{col 27}{space 2} 4.408353{col 38}{space 1}   -2.46{col 47}{space 3}0.021{col 55}{space 4}-19.87218{col 68}{space 3}-1.781795
{txt}{space 10}26  {c |}{col 15}{res}{space 2}-18.74744{col 27}{space 2} 19.22708{col 38}{space 1}   -0.98{col 47}{space 3}0.338{col 55}{space 4}-58.19816{col 68}{space 3} 20.70327
{txt}{space 10}28  {c |}{col 15}{res}{space 2}  22.9664{col 27}{space 2} 3.575387{col 38}{space 1}    6.42{col 47}{space 3}0.000{col 55}{space 4} 15.63031{col 68}{space 3} 30.30248
{txt}{space 10}29  {c |}{col 15}{res}{space 2}-13.87392{col 27}{space 2} 3.267384{col 38}{space 1}   -4.25{col 47}{space 3}0.000{col 55}{space 4}-20.57804{col 68}{space 3}-7.169798
{txt}{space 10}31  {c |}{col 15}{res}{space 2}-15.15474{col 27}{space 2} 5.566883{col 38}{space 1}   -2.72{col 47}{space 3}0.011{col 55}{space 4}-26.57704{col 68}{space 3}-3.732441
{txt}{space 10}33  {c |}{col 15}{res}{space 2}-3.784919{col 27}{space 2} 8.284655{col 38}{space 1}   -0.46{col 47}{space 3}0.651{col 55}{space 4}-20.78363{col 68}{space 3} 13.21379
{txt}{space 10}38  {c |}{col 15}{res}{space 2}-9.361276{col 27}{space 2} 3.791542{col 38}{space 1}   -2.47{col 47}{space 3}0.020{col 55}{space 4}-17.14088{col 68}{space 3}-1.581674
{txt}{space 10}42  {c |}{col 15}{res}{space 2} -2.86046{col 27}{space 2} 9.392619{col 38}{space 1}   -0.30{col 47}{space 3}0.763{col 55}{space 4}-22.13252{col 68}{space 3}  16.4116
{txt}{space 10}48  {c |}{col 15}{res}{space 2}-.4823501{col 27}{space 2} 4.233331{col 38}{space 1}   -0.11{col 47}{space 3}0.910{col 55}{space 4}-9.168427{col 68}{space 3} 8.203727
{txt}{space 10}49  {c |}{col 15}{res}{space 2}-14.11763{col 27}{space 2} 5.407669{col 38}{space 1}   -2.61{col 47}{space 3}0.015{col 55}{space 4}-25.21325{col 68}{space 3}-3.022014
{txt}{space 10}53  {c |}{col 15}{res}{space 2}-10.86088{col 27}{space 2} 3.318401{col 38}{space 1}   -3.27{col 47}{space 3}0.003{col 55}{space 4}-17.66968{col 68}{space 3}-4.052086
{txt}{space 10}56  {c |}{col 15}{res}{space 2}-34.07697{col 27}{space 2} 3.718449{col 38}{space 1}   -9.16{col 47}{space 3}0.000{col 55}{space 4} -41.7066{col 68}{space 3}-26.44734
{txt}{space 10}62  {c |}{col 15}{res}{space 2}-14.99783{col 27}{space 2} 6.566084{col 38}{space 1}   -2.28{col 47}{space 3}0.030{col 55}{space 4}-28.47033{col 68}{space 3}-1.525343
{txt}{space 10}65  {c |}{col 15}{res}{space 2} 7.380538{col 27}{space 2} 5.160618{col 38}{space 1}    1.43{col 47}{space 3}0.164{col 55}{space 4}-3.208177{col 68}{space 3} 17.96925
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} 157.2093{col 27}{space 2} 9.353349{col 38}{space 1}   16.81{col 47}{space 3}0.000{col 55}{space 4} 138.0178{col 68}{space 3} 176.4008
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m4: reg weighttrimmed badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm  preweightdiffmean if usct_rd_sample_mean==1 & preweightdiffmean~=. & distancemean7987<300 , cluster(distancemean_7987_20)

{txt}Linear regression                               Number of obs     = {res}       529
                                                {txt}{help j_robustsingular:F(26, 27) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2206
                                                {txt}Root MSE          =    {res} 19.234

{txt}{ralign 83:(Std. Err. adjusted for {res:28} clusters in distancemean_7987_20)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}    weighttrimmed{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}badstate_post {c |}{col 19}{res}{space 2} -4.68741{col 31}{space 2} 2.543403{col 42}{space 1}   -1.84{col 51}{space 3}0.076{col 59}{space 4}-9.906041{col 72}{space 3}  .531222
{txt}{space 17} {c |}
{space 13}year {c |}
{space 12}1880  {c |}{col 19}{res}{space 2} 2.374844{col 31}{space 2} 7.757351{col 42}{space 1}    0.31{col 51}{space 3}0.762{col 59}{space 4}-13.54193{col 72}{space 3} 18.29161
{txt}{space 12}1881  {c |}{col 19}{res}{space 2} 5.962235{col 31}{space 2} 6.877784{col 42}{space 1}    0.87{col 51}{space 3}0.394{col 59}{space 4}-8.149813{col 72}{space 3} 20.07428
{txt}{space 12}1882  {c |}{col 19}{res}{space 2} 8.955738{col 31}{space 2} 7.628953{col 42}{space 1}    1.17{col 51}{space 3}0.251{col 59}{space 4}-6.697581{col 72}{space 3} 24.60906
{txt}{space 12}1883  {c |}{col 19}{res}{space 2} 7.609218{col 31}{space 2} 6.763442{col 42}{space 1}    1.13{col 51}{space 3}0.270{col 59}{space 4}-6.268219{col 72}{space 3} 21.48665
{txt}{space 12}1884  {c |}{col 19}{res}{space 2} 10.85992{col 31}{space 2} 8.960167{col 42}{space 1}    1.21{col 51}{space 3}0.236{col 59}{space 4}-7.524824{col 72}{space 3} 29.24466
{txt}{space 12}1885  {c |}{col 19}{res}{space 2} 11.00484{col 31}{space 2} 6.252854{col 42}{space 1}    1.76{col 51}{space 3}0.090{col 59}{space 4}-1.824954{col 72}{space 3} 23.83464
{txt}{space 12}1886  {c |}{col 19}{res}{space 2} 7.127574{col 31}{space 2} 7.064182{col 42}{space 1}    1.01{col 51}{space 3}0.322{col 59}{space 4}-7.366931{col 72}{space 3} 21.62208
{txt}{space 12}1887  {c |}{col 19}{res}{space 2} 14.60655{col 31}{space 2} 6.861087{col 42}{space 1}    2.13{col 51}{space 3}0.043{col 59}{space 4} .5287665{col 72}{space 3} 28.68434
{txt}{space 17} {c |}
{space 8}state_num {c |}
{space 15}3  {c |}{col 19}{res}{space 2} 10.70639{col 31}{space 2} 12.42971{col 42}{space 1}    0.86{col 51}{space 3}0.397{col 59}{space 4}-14.79728{col 72}{space 3} 36.21006
{txt}{space 14}10  {c |}{col 19}{res}{space 2}-.6031002{col 31}{space 2} 9.993339{col 42}{space 1}   -0.06{col 51}{space 3}0.952{col 59}{space 4}-21.10774{col 72}{space 3} 19.90154
{txt}{space 14}11  {c |}{col 19}{res}{space 2}-15.38018{col 31}{space 2} 11.90738{col 42}{space 1}   -1.29{col 51}{space 3}0.207{col 59}{space 4}-39.81211{col 72}{space 3} 9.051758
{txt}{space 14}12  {c |}{col 19}{res}{space 2}-6.072518{col 31}{space 2}  7.03013{col 42}{space 1}   -0.86{col 51}{space 3}0.395{col 59}{space 4}-20.49715{col 72}{space 3} 8.352119
{txt}{space 14}18  {c |}{col 19}{res}{space 2}-14.58449{col 31}{space 2} 8.010558{col 42}{space 1}   -1.82{col 51}{space 3}0.080{col 59}{space 4} -31.0208{col 72}{space 3} 1.851813
{txt}{space 14}20  {c |}{col 19}{res}{space 2} 7.879987{col 31}{space 2} 15.86791{col 42}{space 1}    0.50{col 51}{space 3}0.623{col 59}{space 4}-24.67828{col 72}{space 3} 40.43826
{txt}{space 14}21  {c |}{col 19}{res}{space 2} -2.35325{col 31}{space 2} 9.777433{col 42}{space 1}   -0.24{col 51}{space 3}0.812{col 59}{space 4}-22.41488{col 72}{space 3} 17.70839
{txt}{space 14}25  {c |}{col 19}{res}{space 2}-4.680553{col 31}{space 2}  8.43663{col 42}{space 1}   -0.55{col 51}{space 3}0.584{col 59}{space 4}-21.99109{col 72}{space 3} 12.62998
{txt}{space 14}26  {c |}{col 19}{res}{space 2}-18.74486{col 31}{space 2}  13.6893{col 42}{space 1}   -1.37{col 51}{space 3}0.182{col 59}{space 4}-46.83297{col 72}{space 3} 9.343259
{txt}{space 14}28  {c |}{col 19}{res}{space 2} 27.71268{col 31}{space 2} 10.80747{col 42}{space 1}    2.56{col 51}{space 3}0.016{col 59}{space 4} 5.537586{col 72}{space 3} 49.88777
{txt}{space 14}29  {c |}{col 19}{res}{space 2}-7.784637{col 31}{space 2} 6.483166{col 42}{space 1}   -1.20{col 51}{space 3}0.240{col 59}{space 4}-21.08699{col 72}{space 3}  5.51772
{txt}{space 14}31  {c |}{col 19}{res}{space 2}-7.731095{col 31}{space 2} 8.994408{col 42}{space 1}   -0.86{col 51}{space 3}0.398{col 59}{space 4} -26.1861{col 72}{space 3} 10.72391
{txt}{space 14}33  {c |}{col 19}{res}{space 2}-1.531478{col 31}{space 2} 11.54427{col 42}{space 1}   -0.13{col 51}{space 3}0.895{col 59}{space 4}-25.21836{col 72}{space 3}  22.1554
{txt}{space 14}38  {c |}{col 19}{res}{space 2}-20.28893{col 31}{space 2} 5.854519{col 42}{space 1}   -3.47{col 51}{space 3}0.002{col 59}{space 4}-32.30141{col 72}{space 3}-8.276453
{txt}{space 14}42  {c |}{col 19}{res}{space 2} 7.840511{col 31}{space 2} 10.02609{col 42}{space 1}    0.78{col 51}{space 3}0.441{col 59}{space 4}-12.73133{col 72}{space 3} 28.41235
{txt}{space 14}48  {c |}{col 19}{res}{space 2} 8.625731{col 31}{space 2} 9.057834{col 42}{space 1}    0.95{col 51}{space 3}0.349{col 59}{space 4} -9.95941{col 72}{space 3} 27.21087
{txt}{space 14}49  {c |}{col 19}{res}{space 2}-6.849016{col 31}{space 2} 8.574606{col 42}{space 1}   -0.80{col 51}{space 3}0.431{col 59}{space 4}-24.44266{col 72}{space 3} 10.74462
{txt}{space 14}53  {c |}{col 19}{res}{space 2} -.509289{col 31}{space 2}  8.45029{col 42}{space 1}   -0.06{col 51}{space 3}0.952{col 59}{space 4}-17.84785{col 72}{space 3} 16.82927
{txt}{space 14}56  {c |}{col 19}{res}{space 2}-16.32548{col 31}{space 2}  11.5465{col 42}{space 1}   -1.41{col 51}{space 3}0.169{col 59}{space 4}-40.01694{col 72}{space 3} 7.365982
{txt}{space 14}62  {c |}{col 19}{res}{space 2}-16.93978{col 31}{space 2} 8.077712{col 42}{space 1}   -2.10{col 51}{space 3}0.045{col 59}{space 4}-33.51388{col 72}{space 3}-.3656891
{txt}{space 14}65  {c |}{col 19}{res}{space 2}-5.134015{col 31}{space 2}  6.33905{col 42}{space 1}   -0.81{col 51}{space 3}0.425{col 59}{space 4}-18.14067{col 72}{space 3} 7.872642
{txt}{space 17} {c |}
{space 7}agetrimmed {c |}{col 19}{res}{space 2} .0059658{col 31}{space 2}   .19288{col 42}{space 1}    0.03{col 51}{space 3}0.976{col 59}{space 4}-.3897914{col 72}{space 3} .4017229
{txt}{space 4}heighttrimmed {c |}{col 19}{res}{space 2}  2.36707{col 31}{space 2} .5030438{col 42}{space 1}    4.71{col 51}{space 3}0.000{col 59}{space 4}  1.33491{col 72}{space 3} 3.399231
{txt}{space 5}percentblack {c |}{col 19}{res}{space 2} 24.29868{col 31}{space 2} 18.27663{col 42}{space 1}    1.33{col 51}{space 3}0.195{col 59}{space 4}-13.20187{col 72}{space 3} 61.79923
{txt}{space 6}manufoutput {c |}{col 19}{res}{space 2}-.0434201{col 31}{space 2} .0326353{col 42}{space 1}   -1.33{col 51}{space 3}0.194{col 59}{space 4}-.1103822{col 72}{space 3}  .023542
{txt}{space 12}urban {c |}{col 19}{res}{space 2} 10.93243{col 31}{space 2}  9.84887{col 42}{space 1}    1.11{col 51}{space 3}0.277{col 59}{space 4}-9.275783{col 72}{space 3} 31.14064
{txt}{space 3}proportionfarm {c |}{col 19}{res}{space 2} .8674841{col 31}{space 2} 8.096508{col 42}{space 1}    0.11{col 51}{space 3}0.915{col 59}{space 4}-15.74518{col 72}{space 3} 17.48015
{txt}preweightdiffmean {c |}{col 19}{res}{space 2} .1449504{col 31}{space 2} .0503266{col 42}{space 1}    2.88{col 51}{space 3}0.008{col 59}{space 4} .0416887{col 72}{space 3} .2482121
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-13.78044{col 31}{space 2} 49.03646{col 42}{space 1}   -0.28{col 51}{space 3}0.781{col 59}{space 4} -114.395{col 72}{space 3} 86.83407
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. eststo m5: reg weighttrimmed badstate_post i.year i.state_num if usct_rd_sample_mean==1 & preweightdiffmean~=. & distancemean7987<200 , cluster(distancemean_7987_20)

{txt}Linear regression                               Number of obs     = {res}       456
                                                {txt}{help j_robustsingular:F(18, 19) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0804
                                                {txt}Root MSE          =    {res} 20.799

{txt}{ralign 79:(Std. Err. adjusted for {res:20} clusters in distancemean_7987_20)}
{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 15}{c |}{col 27}    Robust
{col 1}weighttrimmed{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      t{col 47}   P>|t|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post {c |}{col 15}{res}{space 2}-6.404132{col 27}{space 2}  2.26975{col 38}{space 1}   -2.82{col 47}{space 3}0.011{col 55}{space 4}-11.15477{col 68}{space 3} -1.65349
{txt}{space 13} {c |}
{space 9}year {c |}
{space 8}1880  {c |}{col 15}{res}{space 2} .6735794{col 27}{space 2}  9.17214{col 38}{space 1}    0.07{col 47}{space 3}0.942{col 55}{space 4}-18.52393{col 68}{space 3} 19.87109
{txt}{space 8}1881  {c |}{col 15}{res}{space 2} 4.868077{col 27}{space 2} 8.168005{col 38}{space 1}    0.60{col 47}{space 3}0.558{col 55}{space 4}-12.22775{col 68}{space 3} 21.96391
{txt}{space 8}1882  {c |}{col 15}{res}{space 2} 7.531975{col 27}{space 2} 8.629259{col 38}{space 1}    0.87{col 47}{space 3}0.394{col 55}{space 4}-10.52927{col 68}{space 3} 25.59322
{txt}{space 8}1883  {c |}{col 15}{res}{space 2} 6.787879{col 27}{space 2} 8.188088{col 38}{space 1}    0.83{col 47}{space 3}0.417{col 55}{space 4}-10.34999{col 68}{space 3} 23.92574
{txt}{space 8}1884  {c |}{col 15}{res}{space 2} 5.787413{col 27}{space 2} 10.76883{col 38}{space 1}    0.54{col 47}{space 3}0.597{col 55}{space 4}  -16.752{col 68}{space 3} 28.32683
{txt}{space 8}1885  {c |}{col 15}{res}{space 2} 11.25109{col 27}{space 2} 7.322187{col 38}{space 1}    1.54{col 47}{space 3}0.141{col 55}{space 4}-4.074423{col 68}{space 3}  26.5766
{txt}{space 8}1886  {c |}{col 15}{res}{space 2} 4.799961{col 27}{space 2} 7.705309{col 38}{space 1}    0.62{col 47}{space 3}0.541{col 55}{space 4}-11.32744{col 68}{space 3} 20.92736
{txt}{space 8}1887  {c |}{col 15}{res}{space 2} 12.72616{col 27}{space 2} 8.322556{col 38}{space 1}    1.53{col 47}{space 3}0.143{col 55}{space 4}-4.693151{col 68}{space 3} 30.14547
{txt}{space 13} {c |}
{space 4}state_num {c |}
{space 10}12  {c |}{col 15}{res}{space 2} 3.063504{col 27}{space 2} 4.450219{col 38}{space 1}    0.69{col 47}{space 3}0.500{col 55}{space 4}-6.250911{col 68}{space 3} 12.37792
{txt}{space 10}18  {c |}{col 15}{res}{space 2} -1.55104{col 27}{space 2} 1.424983{col 38}{space 1}   -1.09{col 47}{space 3}0.290{col 55}{space 4}-4.533563{col 68}{space 3} 1.431483
{txt}{space 10}20  {c |}{col 15}{res}{space 2} 16.98971{col 27}{space 2}  17.5704{col 38}{space 1}    0.97{col 47}{space 3}0.346{col 55}{space 4}-19.78556{col 68}{space 3} 53.76498
{txt}{space 10}21  {c |}{col 15}{res}{space 2} 2.800018{col 27}{space 2} 3.940001{col 38}{space 1}    0.71{col 47}{space 3}0.486{col 55}{space 4}-5.446499{col 68}{space 3} 11.04653
{txt}{space 10}25  {c |}{col 15}{res}{space 2} 3.078359{col 27}{space 2}  3.23984{col 38}{space 1}    0.95{col 47}{space 3}0.354{col 55}{space 4}-3.702703{col 68}{space 3} 9.859422
{txt}{space 10}26  {c |}{col 15}{res}{space 2}-4.318985{col 27}{space 2} 19.48206{col 38}{space 1}   -0.22{col 47}{space 3}0.827{col 55}{space 4}-45.09541{col 68}{space 3} 36.45744
{txt}{space 10}29  {c |}{col 15}{res}{space 2}-.5256153{col 27}{space 2} 1.246112{col 38}{space 1}   -0.42{col 47}{space 3}0.678{col 55}{space 4}-3.133758{col 68}{space 3} 2.082527
{txt}{space 10}33  {c |}{col 15}{res}{space 2} 9.720144{col 27}{space 2} 7.864872{col 38}{space 1}    1.24{col 47}{space 3}0.232{col 55}{space 4}-6.741223{col 68}{space 3} 26.18151
{txt}{space 10}38  {c |}{col 15}{res}{space 2}-.0129833{col 27}{space 2}  1.17522{col 38}{space 1}   -0.01{col 47}{space 3}0.991{col 55}{space 4}-2.472748{col 68}{space 3} 2.446781
{txt}{space 10}42  {c |}{col 15}{res}{space 2} 9.896999{col 27}{space 2} 9.089987{col 38}{space 1}    1.09{col 47}{space 3}0.290{col 55}{space 4}-9.128563{col 68}{space 3} 28.92256
{txt}{space 10}48  {c |}{col 15}{res}{space 2} 1.525033{col 27}{space 2} 7.466714{col 38}{space 1}    0.20{col 47}{space 3}0.840{col 55}{space 4}-14.10298{col 68}{space 3} 17.15304
{txt}{space 10}49  {c |}{col 15}{res}{space 2} -1.66209{col 27}{space 2} 4.833093{col 38}{space 1}   -0.34{col 47}{space 3}0.735{col 55}{space 4}-11.77787{col 68}{space 3} 8.453691
{txt}{space 10}53  {c |}{col 15}{res}{space 2} 1.466175{col 27}{space 2} .8758534{col 38}{space 1}    1.67{col 47}{space 3}0.111{col 55}{space 4} -.367007{col 68}{space 3} 3.299358
{txt}{space 10}62  {c |}{col 15}{res}{space 2} .1501151{col 27}{space 2} 12.87428{col 38}{space 1}    0.01{col 47}{space 3}0.991{col 55}{space 4}-26.79607{col 68}{space 3}  27.0963
{txt}{space 10}65  {c |}{col 15}{res}{space 2} 21.15433{col 27}{space 2} 3.886502{col 38}{space 1}    5.44{col 47}{space 3}0.000{col 55}{space 4} 13.01979{col 68}{space 3} 29.28887
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} 144.1449{col 27}{space 2} 7.887375{col 38}{space 1}   18.28{col 47}{space 3}0.000{col 55}{space 4} 127.6364{col 68}{space 3} 160.6534
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m6: reg weighttrimmed badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm preweightdiffmean if usct_rd_sample_mean==1 & preweightdiffmean~=. & distancemean7987<200 , cluster(distancemean_7987_20)

{txt}Linear regression                               Number of obs     = {res}       425
                                                {txt}{help j_robustsingular:F(18, 19) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1822
                                                {txt}Root MSE          =    {res} 20.005

{txt}{ralign 83:(Std. Err. adjusted for {res:20} clusters in distancemean_7987_20)}
{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 19}{c |}{col 31}    Robust
{col 1}    weighttrimmed{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      t{col 51}   P>|t|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}badstate_post {c |}{col 19}{res}{space 2}-7.665331{col 31}{space 2} 2.330517{col 42}{space 1}   -3.29{col 51}{space 3}0.004{col 59}{space 4}-12.54316{col 72}{space 3}-2.787503
{txt}{space 17} {c |}
{space 13}year {c |}
{space 12}1880  {c |}{col 19}{res}{space 2} 4.656365{col 31}{space 2} 8.660698{col 42}{space 1}    0.54{col 51}{space 3}0.597{col 59}{space 4}-13.47069{col 72}{space 3} 22.78342
{txt}{space 12}1881  {c |}{col 19}{res}{space 2} 8.986135{col 31}{space 2}  6.82159{col 42}{space 1}    1.32{col 51}{space 3}0.203{col 59}{space 4}-5.291618{col 72}{space 3} 23.26389
{txt}{space 12}1882  {c |}{col 19}{res}{space 2} 9.785214{col 31}{space 2} 7.791797{col 42}{space 1}    1.26{col 51}{space 3}0.224{col 59}{space 4}-6.523204{col 72}{space 3} 26.09363
{txt}{space 12}1883  {c |}{col 19}{res}{space 2} 10.83197{col 31}{space 2} 6.798204{col 42}{space 1}    1.59{col 51}{space 3}0.128{col 59}{space 4}-3.396838{col 72}{space 3} 25.06077
{txt}{space 12}1884  {c |}{col 19}{res}{space 2} 10.45859{col 31}{space 2} 10.83918{col 42}{space 1}    0.96{col 51}{space 3}0.347{col 59}{space 4}-12.22807{col 72}{space 3} 33.14525
{txt}{space 12}1885  {c |}{col 19}{res}{space 2}   15.362{col 31}{space 2} 6.208043{col 42}{space 1}    2.47{col 51}{space 3}0.023{col 59}{space 4} 2.368418{col 72}{space 3} 28.35558
{txt}{space 12}1886  {c |}{col 19}{res}{space 2} 9.951787{col 31}{space 2} 7.153617{col 42}{space 1}    1.39{col 51}{space 3}0.180{col 59}{space 4}-5.020904{col 72}{space 3} 24.92448
{txt}{space 12}1887  {c |}{col 19}{res}{space 2} 17.48977{col 31}{space 2} 7.002844{col 42}{space 1}    2.50{col 51}{space 3}0.022{col 59}{space 4} 2.832645{col 72}{space 3} 32.14689
{txt}{space 17} {c |}
{space 8}state_num {c |}
{space 14}12  {c |}{col 19}{res}{space 2} 17.75939{col 31}{space 2} 8.619827{col 42}{space 1}    2.06{col 51}{space 3}0.053{col 59}{space 4}-.2821153{col 72}{space 3} 35.80089
{txt}{space 14}18  {c |}{col 19}{res}{space 2} 3.782797{col 31}{space 2} 12.59956{col 42}{space 1}    0.30{col 51}{space 3}0.767{col 59}{space 4}-22.58838{col 72}{space 3} 30.15397
{txt}{space 14}20  {c |}{col 19}{res}{space 2} 28.53471{col 31}{space 2} 19.45963{col 42}{space 1}    1.47{col 51}{space 3}0.159{col 59}{space 4}-12.19476{col 72}{space 3} 69.26417
{txt}{space 14}21  {c |}{col 19}{res}{space 2} 15.88712{col 31}{space 2} 7.898418{col 42}{space 1}    2.01{col 51}{space 3}0.059{col 59}{space 4}-.6444562{col 72}{space 3}  32.4187
{txt}{space 14}25  {c |}{col 19}{res}{space 2} 13.83566{col 31}{space 2} 8.327883{col 42}{space 1}    1.66{col 51}{space 3}0.113{col 59}{space 4}-3.594796{col 72}{space 3} 31.26612
{txt}{space 14}26  {c |}{col 19}{res}{space 2} 3.860953{col 31}{space 2} 17.21545{col 42}{space 1}    0.22{col 51}{space 3}0.825{col 59}{space 4} -32.1714{col 72}{space 3} 39.89331
{txt}{space 14}29  {c |}{col 19}{res}{space 2} 16.76881{col 31}{space 2} 9.167013{col 42}{space 1}    1.83{col 51}{space 3}0.083{col 59}{space 4}-2.417971{col 72}{space 3} 35.95559
{txt}{space 14}33  {c |}{col 19}{res}{space 2}  17.2401{col 31}{space 2} 10.49065{col 42}{space 1}    1.64{col 51}{space 3}0.117{col 59}{space 4}-4.717085{col 72}{space 3} 39.19729
{txt}{space 14}38  {c |}{col 19}{res}{space 2} 5.259324{col 31}{space 2}  13.7947{col 42}{space 1}    0.38{col 51}{space 3}0.707{col 59}{space 4}-23.61332{col 72}{space 3} 34.13197
{txt}{space 14}42  {c |}{col 19}{res}{space 2} 25.45452{col 31}{space 2} 10.38252{col 42}{space 1}    2.45{col 51}{space 3}0.024{col 59}{space 4} 3.723647{col 72}{space 3} 47.18539
{txt}{space 14}48  {c |}{col 19}{res}{space 2} 11.01178{col 31}{space 2} 10.16301{col 42}{space 1}    1.08{col 51}{space 3}0.292{col 59}{space 4}-10.25965{col 72}{space 3} 32.28321
{txt}{space 14}49  {c |}{col 19}{res}{space 2} 10.05991{col 31}{space 2} 10.70456{col 42}{space 1}    0.94{col 51}{space 3}0.359{col 59}{space 4}  -12.345{col 72}{space 3} 32.46482
{txt}{space 14}53  {c |}{col 19}{res}{space 2}  16.8686{col 31}{space 2} 8.913599{col 42}{space 1}    1.89{col 51}{space 3}0.074{col 59}{space 4}-1.787777{col 72}{space 3} 35.52498
{txt}{space 14}62  {c |}{col 19}{res}{space 2} 9.362296{col 31}{space 2}  15.7928{col 42}{space 1}    0.59{col 51}{space 3}0.560{col 59}{space 4}-23.69241{col 72}{space 3}   42.417
{txt}{space 14}65  {c |}{col 19}{res}{space 2} 23.51676{col 31}{space 2} 12.96393{col 42}{space 1}    1.81{col 51}{space 3}0.086{col 59}{space 4}-3.617056{col 72}{space 3} 50.65057
{txt}{space 17} {c |}
{space 7}agetrimmed {c |}{col 19}{res}{space 2}-.0176041{col 31}{space 2} .2716419{col 42}{space 1}   -0.06{col 51}{space 3}0.949{col 59}{space 4}-.5861572{col 72}{space 3} .5509489
{txt}{space 4}heighttrimmed {c |}{col 19}{res}{space 2} 2.158842{col 31}{space 2} .4914115{col 42}{space 1}    4.39{col 51}{space 3}0.000{col 59}{space 4} 1.130306{col 72}{space 3} 3.187378
{txt}{space 5}percentblack {c |}{col 19}{res}{space 2} 3.623064{col 31}{space 2} 27.11354{col 42}{space 1}    0.13{col 51}{space 3}0.895{col 59}{space 4}-53.12623{col 72}{space 3} 60.37235
{txt}{space 6}manufoutput {c |}{col 19}{res}{space 2}-.0687115{col 31}{space 2} .0271667{col 42}{space 1}   -2.53{col 51}{space 3}0.020{col 59}{space 4} -.125572{col 72}{space 3}-.0118509
{txt}{space 12}urban {c |}{col 19}{res}{space 2} 22.19247{col 31}{space 2} 10.66447{col 42}{space 1}    2.08{col 51}{space 3}0.051{col 59}{space 4}-.1285201{col 72}{space 3} 44.51346
{txt}{space 3}proportionfarm {c |}{col 19}{res}{space 2} 1.369647{col 31}{space 2} 8.601329{col 42}{space 1}    0.16{col 51}{space 3}0.875{col 59}{space 4}-16.63314{col 72}{space 3} 19.37244
{txt}preweightdiffmean {c |}{col 19}{res}{space 2} .1670554{col 31}{space 2} .0508722{col 42}{space 1}    3.28{col 51}{space 3}0.004{col 59}{space 4} .0605787{col 72}{space 3}  .273532
{txt}{space 12}_cons {c |}{col 19}{res}{space 2}-18.77782{col 31}{space 2} 43.93091{col 42}{space 1}   -0.43{col 51}{space 3}0.674{col 59}{space 4}-110.7263{col 72}{space 3} 73.17064
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. estout m1 m2 m3 m4 m5 m6 using Table15.tex, replace style(tex) collabels(none) mlabels("Model 1" "Model 2" "Model 3" "Model 4" "Model 5" "Model 6", span prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) prehead("\begin{c -(}table{c )-}[htbp!]\caption{c -(}@title{c )-}" "\begin{c -(}center{c )-}" "\scriptsize" "\begin{c -(}threeparttable{c )-}"  "\begin{c -(}tabular{c )-}{c -(}l*{c -(}@M{c )-}{c -(}rr{c )-}{c )-}" "\hline")  cells(  b(star fmt(2)) se(par fmt(2)) ) starlevels(* .10 ** .05 *** .01)   s( N ) 
{res}{txt}(note: file Table15.tex not found)
(output written to {browse  `"Table15.tex"'})

{com}. 
. *Table 16 
. 
. eststo m1: areg weighttrimmed badstate_post_1876 i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct==1 & examdate>18751015 & examdate<18831015 & sameborder1879==1 & distancemean7583<300, cluster(distancemean_7583_20) absorb(recid)
{txt}note: 9.state_num omitted because of collinearity
{txt}note: 12.state_num omitted because of collinearity
{txt}note: 18.state_num omitted because of collinearity
{txt}note: 20.state_num omitted because of collinearity
{txt}note: 26.state_num omitted because of collinearity
{txt}note: 28.state_num omitted because of collinearity
{txt}note: 34.state_num omitted because of collinearity
{txt}note: 38.state_num omitted because of collinearity
{txt}note: 40.state_num omitted because of collinearity
{txt}note: 48.state_num omitted because of collinearity
{txt}note: 65.state_num omitted because of collinearity
{txt}note: 69.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     1,241
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}       847
{txt}{col 49}{help j_robustsingular##|_new:F(  18,     29)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.9370
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7866
{txt}{col 49}Root MSE{col 67}= {res}    8.6591

{txt}{ralign 84:(Std. Err. adjusted for {res:30} clusters in distancemean_7583_20)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     weighttrimmed{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post_1876 {c |}{col 20}{res}{space 2} 6.151162{col 32}{space 2} 5.144701{col 43}{space 1}    1.20{col 52}{space 3}0.242{col 60}{space 4}-4.370932{col 73}{space 3} 16.67326
{txt}{space 18} {c |}
{space 14}year {c |}
{space 13}1876  {c |}{col 20}{res}{space 2} 2.210204{col 32}{space 2} 5.913966{col 43}{space 1}    0.37{col 52}{space 3}0.711{col 60}{space 4}-9.885213{col 73}{space 3} 14.30562
{txt}{space 13}1877  {c |}{col 20}{res}{space 2} 1.863702{col 32}{space 2} 4.742934{col 43}{space 1}    0.39{col 52}{space 3}0.697{col 60}{space 4}-7.836687{col 73}{space 3} 11.56409
{txt}{space 13}1878  {c |}{col 20}{res}{space 2} 3.088936{col 32}{space 2} 4.952695{col 43}{space 1}    0.62{col 52}{space 3}0.538{col 60}{space 4}-7.040462{col 73}{space 3} 13.21833
{txt}{space 13}1879  {c |}{col 20}{res}{space 2} 3.748842{col 32}{space 2} 6.559213{col 43}{space 1}    0.57{col 52}{space 3}0.572{col 60}{space 4}-9.666256{col 73}{space 3} 17.16394
{txt}{space 13}1880  {c |}{col 20}{res}{space 2}-.7110758{col 32}{space 2}  5.25663{col 43}{space 1}   -0.14{col 52}{space 3}0.893{col 60}{space 4}-11.46209{col 73}{space 3} 10.03994
{txt}{space 13}1881  {c |}{col 20}{res}{space 2} .8188067{col 32}{space 2} 6.411414{col 43}{space 1}    0.13{col 52}{space 3}0.899{col 60}{space 4}-12.29401{col 73}{space 3} 13.93162
{txt}{space 13}1882  {c |}{col 20}{res}{space 2}  2.04529{col 32}{space 2} 7.975823{col 43}{space 1}    0.26{col 52}{space 3}0.799{col 60}{space 4} -14.2671{col 73}{space 3} 18.35768
{txt}{space 13}1883  {c |}{col 20}{res}{space 2}-.0099914{col 32}{space 2} 6.489394{col 43}{space 1}   -0.00{col 52}{space 3}0.999{col 60}{space 4}-13.28229{col 73}{space 3} 13.26231
{txt}{space 18} {c |}
{space 9}state_num {c |}
{space 16}3  {c |}{col 20}{res}{space 2}  1.79464{col 32}{space 2} 7.373331{col 43}{space 1}    0.24{col 52}{space 3}0.809{col 60}{space 4}-13.28551{col 73}{space 3} 16.87479
{txt}{space 16}9  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}10  {c |}{col 20}{res}{space 2}-1.819429{col 32}{space 2} 6.973855{col 43}{space 1}   -0.26{col 52}{space 3}0.796{col 60}{space 4}-16.08256{col 73}{space 3} 12.44371
{txt}{space 15}11  {c |}{col 20}{res}{space 2}  10.1754{col 32}{space 2} 15.24451{col 43}{space 1}    0.67{col 52}{space 3}0.510{col 60}{space 4}-21.00312{col 73}{space 3} 41.35392
{txt}{space 15}12  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}18  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}20  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}21  {c |}{col 20}{res}{space 2}-56.08199{col 32}{space 2} 12.01991{col 43}{space 1}   -4.67{col 52}{space 3}0.000{col 60}{space 4}-80.66547{col 73}{space 3}-31.49851
{txt}{space 15}25  {c |}{col 20}{res}{space 2}  -.21211{col 32}{space 2} 7.044783{col 43}{space 1}   -0.03{col 52}{space 3}0.976{col 60}{space 4}-14.62031{col 73}{space 3} 14.19609
{txt}{space 15}26  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}28  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}29  {c |}{col 20}{res}{space 2} 2.076993{col 32}{space 2}  8.00877{col 43}{space 1}    0.26{col 52}{space 3}0.797{col 60}{space 4}-14.30278{col 73}{space 3} 18.45677
{txt}{space 15}31  {c |}{col 20}{res}{space 2} -66.0563{col 32}{space 2} 13.36667{col 43}{space 1}   -4.94{col 52}{space 3}0.000{col 60}{space 4}-93.39421{col 73}{space 3}-38.71838
{txt}{space 15}33  {c |}{col 20}{res}{space 2} 1.532568{col 32}{space 2} 7.081705{col 43}{space 1}    0.22{col 52}{space 3}0.830{col 60}{space 4}-12.95115{col 73}{space 3} 16.01628
{txt}{space 15}34  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}38  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}40  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}42  {c |}{col 20}{res}{space 2} 7.881943{col 32}{space 2} 8.980658{col 43}{space 1}    0.88{col 52}{space 3}0.387{col 60}{space 4}-10.48557{col 73}{space 3} 26.24945
{txt}{space 15}48  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}49  {c |}{col 20}{res}{space 2}-64.12511{col 32}{space 2} 10.13267{col 43}{space 1}   -6.33{col 52}{space 3}0.000{col 60}{space 4}-84.84875{col 73}{space 3}-43.40147
{txt}{space 15}53  {c |}{col 20}{res}{space 2} 12.36585{col 32}{space 2} 11.30026{col 43}{space 1}    1.09{col 52}{space 3}0.283{col 60}{space 4}-10.74578{col 73}{space 3} 35.47748
{txt}{space 15}62  {c |}{col 20}{res}{space 2} 2.667901{col 32}{space 2}   7.3341{col 43}{space 1}    0.36{col 52}{space 3}0.719{col 60}{space 4}-12.33202{col 73}{space 3} 17.66782
{txt}{space 15}65  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}69  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}70  {c |}{col 20}{res}{space 2} 3.067398{col 32}{space 2} 9.118223{col 43}{space 1}    0.34{col 52}{space 3}0.739{col 60}{space 4}-15.58146{col 73}{space 3} 21.71626
{txt}{space 18} {c |}
{space 8}agetrimmed {c |}{col 20}{res}{space 2}-.1914871{col 32}{space 2} .2726665{col 43}{space 1}   -0.70{col 52}{space 3}0.488{col 60}{space 4}-.7491526{col 73}{space 3} .3661784
{txt}{space 5}heighttrimmed {c |}{col 20}{res}{space 2}-.1862942{col 32}{space 2}  1.56772{col 43}{space 1}   -0.12{col 52}{space 3}0.906{col 60}{space 4}-3.392641{col 73}{space 3} 3.020053
{txt}{space 6}percentblack {c |}{col 20}{res}{space 2}-9.640354{col 32}{space 2}  28.6007{col 43}{space 1}   -0.34{col 52}{space 3}0.738{col 60}{space 4}-68.13534{col 73}{space 3} 48.85464
{txt}{space 7}manufoutput {c |}{col 20}{res}{space 2} .0002187{col 32}{space 2} .0275066{col 43}{space 1}    0.01{col 52}{space 3}0.994{col 60}{space 4}-.0560386{col 73}{space 3}  .056476
{txt}{space 13}urban {c |}{col 20}{res}{space 2}-.0313706{col 32}{space 2} 9.845714{col 43}{space 1}   -0.00{col 52}{space 3}0.997{col 60}{space 4}-20.16812{col 73}{space 3} 20.10538
{txt}{space 4}proportionfarm {c |}{col 20}{res}{space 2} 5.248047{col 32}{space 2} 7.183044{col 43}{space 1}    0.73{col 52}{space 3}0.471{col 60}{space 4}-9.442927{col 73}{space 3} 19.93902
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}  175.842{col 32}{space 2} 105.8442{col 43}{space 1}    1.66{col 52}{space 3}0.107{col 60}{space 4}-40.63364{col 73}{space 3} 392.3177
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. eststo m2: areg weighttrimmed badstate_post_1877 i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct==1 & examdate>18751015 & examdate<18831015 & sameborder1879==1 & distancemean7583<300, cluster(distancemean_7583_20) absorb(recid)
{txt}note: 9.state_num omitted because of collinearity
{txt}note: 12.state_num omitted because of collinearity
{txt}note: 18.state_num omitted because of collinearity
{txt}note: 20.state_num omitted because of collinearity
{txt}note: 21.state_num omitted because of collinearity
{txt}note: 26.state_num omitted because of collinearity
{txt}note: 34.state_num omitted because of collinearity
{txt}note: 38.state_num omitted because of collinearity
{txt}note: 40.state_num omitted because of collinearity
{txt}note: 48.state_num omitted because of collinearity
{txt}note: 65.state_num omitted because of collinearity
{txt}note: 69.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     1,241
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}       847
{txt}{col 49}{help j_robustsingular##|_new:F(  18,     29)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.9367
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7857
{txt}{col 49}Root MSE{col 67}= {res}    8.6778

{txt}{ralign 84:(Std. Err. adjusted for {res:30} clusters in distancemean_7583_20)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     weighttrimmed{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post_1877 {c |}{col 20}{res}{space 2}   .87815{col 32}{space 2}  3.09389{col 43}{space 1}    0.28{col 52}{space 3}0.779{col 60}{space 4}-5.449566{col 73}{space 3} 7.205866
{txt}{space 18} {c |}
{space 14}year {c |}
{space 13}1876  {c |}{col 20}{res}{space 2} 3.185186{col 32}{space 2} 6.223997{col 43}{space 1}    0.51{col 52}{space 3}0.613{col 60}{space 4}-9.544318{col 73}{space 3} 15.91469
{txt}{space 13}1877  {c |}{col 20}{res}{space 2} 3.701692{col 32}{space 2} 5.255622{col 43}{space 1}    0.70{col 52}{space 3}0.487{col 60}{space 4}-7.047262{col 73}{space 3} 14.45065
{txt}{space 13}1878  {c |}{col 20}{res}{space 2}  4.94664{col 32}{space 2}  5.70494{col 43}{space 1}    0.87{col 52}{space 3}0.393{col 60}{space 4}-6.721272{col 73}{space 3} 16.61455
{txt}{space 13}1879  {c |}{col 20}{res}{space 2} 5.568398{col 32}{space 2} 6.662565{col 43}{space 1}    0.84{col 52}{space 3}0.410{col 60}{space 4}-8.058076{col 73}{space 3} 19.19487
{txt}{space 13}1880  {c |}{col 20}{res}{space 2} 1.138817{col 32}{space 2} 7.106899{col 43}{space 1}    0.16{col 52}{space 3}0.874{col 60}{space 4}-13.39642{col 73}{space 3} 15.67406
{txt}{space 13}1881  {c |}{col 20}{res}{space 2} 2.658837{col 32}{space 2} 6.470536{col 43}{space 1}    0.41{col 52}{space 3}0.684{col 60}{space 4} -10.5749{col 73}{space 3} 15.89257
{txt}{space 13}1882  {c |}{col 20}{res}{space 2} 3.823422{col 32}{space 2} 7.806845{col 43}{space 1}    0.49{col 52}{space 3}0.628{col 60}{space 4}-12.14337{col 73}{space 3} 19.79021
{txt}{space 13}1883  {c |}{col 20}{res}{space 2} 1.812505{col 32}{space 2} 7.052577{col 43}{space 1}    0.26{col 52}{space 3}0.799{col 60}{space 4}-12.61163{col 73}{space 3} 16.23664
{txt}{space 18} {c |}
{space 9}state_num {c |}
{space 16}3  {c |}{col 20}{res}{space 2} 1.961256{col 32}{space 2} 7.408536{col 43}{space 1}    0.26{col 52}{space 3}0.793{col 60}{space 4} -13.1909{col 73}{space 3} 17.11341
{txt}{space 16}9  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}10  {c |}{col 20}{res}{space 2}     53.4{col 32}{space 2} 5.596865{col 43}{space 1}    9.54{col 52}{space 3}0.000{col 60}{space 4} 41.95313{col 73}{space 3} 64.84688
{txt}{space 15}11  {c |}{col 20}{res}{space 2} 66.62655{col 32}{space 2} 11.76118{col 43}{space 1}    5.66{col 52}{space 3}0.000{col 60}{space 4} 42.57223{col 73}{space 3} 90.68087
{txt}{space 15}12  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}18  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}20  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}21  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}25  {c |}{col 20}{res}{space 2}-.3698185{col 32}{space 2} 7.190324{col 43}{space 1}   -0.05{col 52}{space 3}0.959{col 60}{space 4}-15.07568{col 73}{space 3} 14.33604
{txt}{space 15}26  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}28  {c |}{col 20}{res}{space 2} 54.48996{col 32}{space 2} 11.63932{col 43}{space 1}    4.68{col 52}{space 3}0.000{col 60}{space 4} 30.68487{col 73}{space 3} 78.29505
{txt}{space 15}29  {c |}{col 20}{res}{space 2} 2.112234{col 32}{space 2} 8.135994{col 43}{space 1}    0.26{col 52}{space 3}0.797{col 60}{space 4}-14.52774{col 73}{space 3} 18.75221
{txt}{space 15}31  {c |}{col 20}{res}{space 2}-10.21565{col 32}{space 2} 4.355458{col 43}{space 1}   -2.35{col 52}{space 3}0.026{col 60}{space 4}-19.12356{col 73}{space 3}-1.307732
{txt}{space 15}33  {c |}{col 20}{res}{space 2} 1.163946{col 32}{space 2} 7.410144{col 43}{space 1}    0.16{col 52}{space 3}0.876{col 60}{space 4} -13.9915{col 73}{space 3} 16.31939
{txt}{space 15}34  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}38  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}40  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}42  {c |}{col 20}{res}{space 2} 63.99081{col 32}{space 2} 4.635183{col 43}{space 1}   13.81{col 52}{space 3}0.000{col 60}{space 4}  54.5108{col 73}{space 3} 73.47082
{txt}{space 15}48  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}49  {c |}{col 20}{res}{space 2}-7.994851{col 32}{space 2} 3.336339{col 43}{space 1}   -2.40{col 52}{space 3}0.023{col 60}{space 4}-14.81843{col 73}{space 3} -1.17127
{txt}{space 15}53  {c |}{col 20}{res}{space 2} 68.60153{col 32}{space 2} 2.933791{col 43}{space 1}   23.38{col 52}{space 3}0.000{col 60}{space 4} 62.60126{col 73}{space 3} 74.60181
{txt}{space 15}62  {c |}{col 20}{res}{space 2}  2.53872{col 32}{space 2} 7.381605{col 43}{space 1}    0.34{col 52}{space 3}0.733{col 60}{space 4}-12.55836{col 73}{space 3}  17.6358
{txt}{space 15}65  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}69  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}70  {c |}{col 20}{res}{space 2} 2.906361{col 32}{space 2} 9.620021{col 43}{space 1}    0.30{col 52}{space 3}0.765{col 60}{space 4}-16.76879{col 73}{space 3} 22.58151
{txt}{space 18} {c |}
{space 8}agetrimmed {c |}{col 20}{res}{space 2}-.1883423{col 32}{space 2} .2724083{col 43}{space 1}   -0.69{col 52}{space 3}0.495{col 60}{space 4}-.7454798{col 73}{space 3} .3687951
{txt}{space 5}heighttrimmed {c |}{col 20}{res}{space 2}-.2093995{col 32}{space 2}  1.58016{col 43}{space 1}   -0.13{col 52}{space 3}0.895{col 60}{space 4}-3.441189{col 73}{space 3}  3.02239
{txt}{space 6}percentblack {c |}{col 20}{res}{space 2}-10.12239{col 32}{space 2} 28.86323{col 43}{space 1}   -0.35{col 52}{space 3}0.728{col 60}{space 4}-69.15432{col 73}{space 3} 48.90955
{txt}{space 7}manufoutput {c |}{col 20}{res}{space 2}-.0001871{col 32}{space 2} .0278071{col 43}{space 1}   -0.01{col 52}{space 3}0.995{col 60}{space 4} -.057059{col 73}{space 3} .0566847
{txt}{space 13}urban {c |}{col 20}{res}{space 2}-.1149439{col 32}{space 2} 9.923816{col 43}{space 1}   -0.01{col 52}{space 3}0.991{col 60}{space 4}-20.41143{col 73}{space 3} 20.18154
{txt}{space 4}proportionfarm {c |}{col 20}{res}{space 2} 5.691713{col 32}{space 2} 7.547262{col 43}{space 1}    0.75{col 52}{space 3}0.457{col 60}{space 4}-9.744171{col 73}{space 3}  21.1276
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 148.9483{col 32}{space 2}  112.424{col 43}{space 1}    1.32{col 52}{space 3}0.196{col 60}{space 4}-80.98464{col 73}{space 3} 378.8812
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. eststo m3: areg weighttrimmed badstate_post_1878 i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct==1 & examdate>18751015 & examdate<18831015 & sameborder1879==1 & distancemean7583<300, cluster(distancemean_7583_20) absorb(recid)
{txt}note: 9.state_num omitted because of collinearity
{txt}note: 12.state_num omitted because of collinearity
{txt}note: 18.state_num omitted because of collinearity
{txt}note: 20.state_num omitted because of collinearity
{txt}note: 26.state_num omitted because of collinearity
{txt}note: 28.state_num omitted because of collinearity
{txt}note: 34.state_num omitted because of collinearity
{txt}note: 38.state_num omitted because of collinearity
{txt}note: 40.state_num omitted because of collinearity
{txt}note: 48.state_num omitted because of collinearity
{txt}note: 65.state_num omitted because of collinearity
{txt}note: 69.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     1,241
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}       847
{txt}{col 49}{help j_robustsingular##|_new:F(  18,     29)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.9367
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7856
{txt}{col 49}Root MSE{col 67}= {res}    8.6785

{txt}{ralign 84:(Std. Err. adjusted for {res:30} clusters in distancemean_7583_20)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     weighttrimmed{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post_1878 {c |}{col 20}{res}{space 2} .5480387{col 32}{space 2} 3.626291{col 43}{space 1}    0.15{col 52}{space 3}0.881{col 60}{space 4}-6.868559{col 73}{space 3} 7.964636
{txt}{space 18} {c |}
{space 14}year {c |}
{space 13}1876  {c |}{col 20}{res}{space 2} 3.222725{col 32}{space 2} 6.383385{col 43}{space 1}    0.50{col 52}{space 3}0.617{col 60}{space 4}-9.832764{col 73}{space 3} 16.27821
{txt}{space 13}1877  {c |}{col 20}{res}{space 2} 3.772813{col 32}{space 2} 5.388014{col 43}{space 1}    0.70{col 52}{space 3}0.489{col 60}{space 4}-7.246913{col 73}{space 3} 14.79254
{txt}{space 13}1878  {c |}{col 20}{res}{space 2} 5.131273{col 32}{space 2} 6.068779{col 43}{space 1}    0.85{col 52}{space 3}0.405{col 60}{space 4}-7.280774{col 73}{space 3} 17.54332
{txt}{space 13}1879  {c |}{col 20}{res}{space 2} 5.691753{col 32}{space 2} 6.851957{col 43}{space 1}    0.83{col 52}{space 3}0.413{col 60}{space 4}-8.322073{col 73}{space 3} 19.70558
{txt}{space 13}1880  {c |}{col 20}{res}{space 2} 1.259152{col 32}{space 2} 7.603436{col 43}{space 1}    0.17{col 52}{space 3}0.870{col 60}{space 4}-14.29162{col 73}{space 3} 16.80992
{txt}{space 13}1881  {c |}{col 20}{res}{space 2} 2.777989{col 32}{space 2} 6.748231{col 43}{space 1}    0.41{col 52}{space 3}0.684{col 60}{space 4}-11.02369{col 73}{space 3} 16.57967
{txt}{space 13}1882  {c |}{col 20}{res}{space 2} 3.940133{col 32}{space 2}  8.01624{col 43}{space 1}    0.49{col 52}{space 3}0.627{col 60}{space 4}-12.45492{col 73}{space 3} 20.33518
{txt}{space 13}1883  {c |}{col 20}{res}{space 2} 1.933063{col 32}{space 2} 7.355283{col 43}{space 1}    0.26{col 52}{space 3}0.795{col 60}{space 4}-13.11018{col 73}{space 3} 16.97631
{txt}{space 18} {c |}
{space 9}state_num {c |}
{space 16}3  {c |}{col 20}{res}{space 2} 1.966215{col 32}{space 2} 7.401878{col 43}{space 1}    0.27{col 52}{space 3}0.792{col 60}{space 4}-13.17233{col 73}{space 3} 17.10476
{txt}{space 16}9  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}10  {c |}{col 20}{res}{space 2}-1.011512{col 32}{space 2}  6.80001{col 43}{space 1}   -0.15{col 52}{space 3}0.883{col 60}{space 4}-14.91909{col 73}{space 3} 12.89607
{txt}{space 15}11  {c |}{col 20}{res}{space 2} 12.29975{col 32}{space 2} 15.53721{col 43}{space 1}    0.79{col 52}{space 3}0.435{col 60}{space 4}-19.47741{col 73}{space 3} 44.07691
{txt}{space 15}12  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}18  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}20  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}21  {c |}{col 20}{res}{space 2}-54.38332{col 32}{space 2} 11.53269{col 43}{space 1}   -4.72{col 52}{space 3}0.000{col 60}{space 4}-77.97033{col 73}{space 3}-30.79631
{txt}{space 15}25  {c |}{col 20}{res}{space 2}-.4042925{col 32}{space 2} 7.246086{col 43}{space 1}   -0.06{col 52}{space 3}0.956{col 60}{space 4} -15.2242{col 73}{space 3} 14.41562
{txt}{space 15}26  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}28  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}29  {c |}{col 20}{res}{space 2}  2.21345{col 32}{space 2} 7.945879{col 43}{space 1}    0.28{col 52}{space 3}0.783{col 60}{space 4} -14.0377{col 73}{space 3}  18.4646
{txt}{space 15}31  {c |}{col 20}{res}{space 2}-64.61061{col 32}{space 2} 13.18728{col 43}{space 1}   -4.90{col 52}{space 3}0.000{col 60}{space 4}-91.58163{col 73}{space 3} -37.6396
{txt}{space 15}33  {c |}{col 20}{res}{space 2} 1.004988{col 32}{space 2} 8.113638{col 43}{space 1}    0.12{col 52}{space 3}0.902{col 60}{space 4}-15.58926{col 73}{space 3} 17.59924
{txt}{space 15}34  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}38  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}40  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}42  {c |}{col 20}{res}{space 2} 9.658288{col 32}{space 2} 8.498182{col 43}{space 1}    1.14{col 52}{space 3}0.265{col 60}{space 4}-7.722446{col 73}{space 3} 27.03902
{txt}{space 15}48  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}49  {c |}{col 20}{res}{space 2}-62.37667{col 32}{space 2} 9.865297{col 43}{space 1}   -6.32{col 52}{space 3}0.000{col 60}{space 4}-82.55347{col 73}{space 3}-42.19987
{txt}{space 15}53  {c |}{col 20}{res}{space 2} 14.27553{col 32}{space 2} 11.23088{col 43}{space 1}    1.27{col 52}{space 3}0.214{col 60}{space 4}-8.694207{col 73}{space 3} 37.24526
{txt}{space 15}62  {c |}{col 20}{res}{space 2} 2.529713{col 32}{space 2} 7.380248{col 43}{space 1}    0.34{col 52}{space 3}0.734{col 60}{space 4}-12.56459{col 73}{space 3} 17.62401
{txt}{space 15}65  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}69  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}70  {c |}{col 20}{res}{space 2}  3.09569{col 32}{space 2} 9.151215{col 43}{space 1}    0.34{col 52}{space 3}0.738{col 60}{space 4}-15.62065{col 73}{space 3} 21.81203
{txt}{space 18} {c |}
{space 8}agetrimmed {c |}{col 20}{res}{space 2} -.187097{col 32}{space 2} .2729401{col 43}{space 1}   -0.69{col 52}{space 3}0.498{col 60}{space 4}-.7453223{col 73}{space 3} .3711282
{txt}{space 5}heighttrimmed {c |}{col 20}{res}{space 2}-.2127753{col 32}{space 2} 1.581718{col 43}{space 1}   -0.13{col 52}{space 3}0.894{col 60}{space 4}-3.447752{col 73}{space 3} 3.022202
{txt}{space 6}percentblack {c |}{col 20}{res}{space 2}-10.14281{col 32}{space 2} 28.95946{col 43}{space 1}   -0.35{col 52}{space 3}0.729{col 60}{space 4}-69.37155{col 73}{space 3} 49.08593
{txt}{space 7}manufoutput {c |}{col 20}{res}{space 2}-.0003338{col 32}{space 2} .0277977{col 43}{space 1}   -0.01{col 52}{space 3}0.991{col 60}{space 4}-.0571866{col 73}{space 3} .0565189
{txt}{space 13}urban {c |}{col 20}{res}{space 2}-.0908074{col 32}{space 2} 9.981765{col 43}{space 1}   -0.01{col 52}{space 3}0.993{col 60}{space 4}-20.50581{col 73}{space 3} 20.32419
{txt}{space 4}proportionfarm {c |}{col 20}{res}{space 2} 5.708379{col 32}{space 2} 7.654778{col 43}{space 1}    0.75{col 52}{space 3}0.462{col 60}{space 4}-9.947401{col 73}{space 3} 21.36416
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 176.1724{col 32}{space 2} 107.7687{col 43}{space 1}    1.63{col 52}{space 3}0.113{col 60}{space 4}-44.23929{col 73}{space 3}  396.584
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. eststo m4: areg weighttrimmed badstate_post_1879 i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct==1 & examdate>18751015 & examdate<18831015 & sameborder1879==1 & distancemean7583<300, cluster(distancemean_7583_20) absorb(recid)
{txt}note: 9.state_num omitted because of collinearity
{txt}note: 12.state_num omitted because of collinearity
{txt}note: 18.state_num omitted because of collinearity
{txt}note: 20.state_num omitted because of collinearity
{txt}note: 21.state_num omitted because of collinearity
{txt}note: 26.state_num omitted because of collinearity
{txt}note: 34.state_num omitted because of collinearity
{txt}note: 38.state_num omitted because of collinearity
{txt}note: 40.state_num omitted because of collinearity
{txt}note: 48.state_num omitted because of collinearity
{txt}note: 65.state_num omitted because of collinearity
{txt}note: 69.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     1,241
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}       847
{txt}{col 49}{help j_robustsingular##|_new:F(  18,     29)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.9368
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7858
{txt}{col 49}Root MSE{col 67}= {res}    8.6750

{txt}{ralign 84:(Std. Err. adjusted for {res:30} clusters in distancemean_7583_20)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     weighttrimmed{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post_1879 {c |}{col 20}{res}{space 2} 1.617889{col 32}{space 2}  3.48328{col 43}{space 1}    0.46{col 52}{space 3}0.646{col 60}{space 4} -5.50622{col 73}{space 3} 8.741997
{txt}{space 18} {c |}
{space 14}year {c |}
{space 13}1876  {c |}{col 20}{res}{space 2} 3.031917{col 32}{space 2} 6.322162{col 43}{space 1}    0.48{col 52}{space 3}0.635{col 60}{space 4}-9.898356{col 73}{space 3} 15.96219
{txt}{space 13}1877  {c |}{col 20}{res}{space 2}  3.56442{col 32}{space 2} 5.355116{col 43}{space 1}    0.67{col 52}{space 3}0.511{col 60}{space 4}-7.388022{col 73}{space 3} 14.51686
{txt}{space 13}1878  {c |}{col 20}{res}{space 2} 4.945237{col 32}{space 2} 5.997312{col 43}{space 1}    0.82{col 52}{space 3}0.416{col 60}{space 4}-7.320643{col 73}{space 3} 17.21112
{txt}{space 13}1879  {c |}{col 20}{res}{space 2} 5.582597{col 32}{space 2} 6.752648{col 43}{space 1}    0.83{col 52}{space 3}0.415{col 60}{space 4}-8.228118{col 73}{space 3} 19.39331
{txt}{space 13}1880  {c |}{col 20}{res}{space 2} .7984934{col 32}{space 2} 7.393852{col 43}{space 1}    0.11{col 52}{space 3}0.915{col 60}{space 4}-14.32363{col 73}{space 3} 15.92062
{txt}{space 13}1881  {c |}{col 20}{res}{space 2} 2.356092{col 32}{space 2} 6.583754{col 43}{space 1}    0.36{col 52}{space 3}0.723{col 60}{space 4} -11.1092{col 73}{space 3} 15.82138
{txt}{space 13}1882  {c |}{col 20}{res}{space 2} 3.508129{col 32}{space 2} 7.802752{col 43}{space 1}    0.45{col 52}{space 3}0.656{col 60}{space 4}-12.45029{col 73}{space 3} 19.46655
{txt}{space 13}1883  {c |}{col 20}{res}{space 2} 1.495525{col 32}{space 2} 7.169278{col 43}{space 1}    0.21{col 52}{space 3}0.836{col 60}{space 4} -13.1673{col 73}{space 3} 16.15835
{txt}{space 18} {c |}
{space 9}state_num {c |}
{space 16}3  {c |}{col 20}{res}{space 2} 1.929976{col 32}{space 2} 7.385664{col 43}{space 1}    0.26{col 52}{space 3}0.796{col 60}{space 4} -13.1754{col 73}{space 3} 17.03535
{txt}{space 16}9  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}10  {c |}{col 20}{res}{space 2} 53.47658{col 32}{space 2}   5.5669{col 43}{space 1}    9.61{col 52}{space 3}0.000{col 60}{space 4} 42.09099{col 73}{space 3} 64.86217
{txt}{space 15}11  {c |}{col 20}{res}{space 2} 66.69108{col 32}{space 2} 11.57563{col 43}{space 1}    5.76{col 52}{space 3}0.000{col 60}{space 4} 43.01626{col 73}{space 3} 90.36589
{txt}{space 15}12  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}18  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}20  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}21  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}25  {c |}{col 20}{res}{space 2}-.1713514{col 32}{space 2}  7.40877{col 43}{space 1}   -0.02{col 52}{space 3}0.982{col 60}{space 4}-15.32399{col 73}{space 3} 14.98129
{txt}{space 15}26  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}28  {c |}{col 20}{res}{space 2} 54.70945{col 32}{space 2} 11.39718{col 43}{space 1}    4.80{col 52}{space 3}0.000{col 60}{space 4} 31.39959{col 73}{space 3} 78.01931
{txt}{space 15}29  {c |}{col 20}{res}{space 2} 2.046962{col 32}{space 2} 8.035327{col 43}{space 1}    0.25{col 52}{space 3}0.801{col 60}{space 4}-14.38713{col 73}{space 3} 18.48105
{txt}{space 15}31  {c |}{col 20}{res}{space 2}-10.48174{col 32}{space 2} 4.613794{col 43}{space 1}   -2.27{col 52}{space 3}0.031{col 60}{space 4}-19.91801{col 73}{space 3}-1.045475
{txt}{space 15}33  {c |}{col 20}{res}{space 2}  .065194{col 32}{space 2} 8.341704{col 43}{space 1}    0.01{col 52}{space 3}0.994{col 60}{space 4}-16.99551{col 73}{space 3} 17.12589
{txt}{space 15}34  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}38  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}40  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}42  {c |}{col 20}{res}{space 2} 64.20928{col 32}{space 2} 4.699529{col 43}{space 1}   13.66{col 52}{space 3}0.000{col 60}{space 4} 54.59767{col 73}{space 3}  73.8209
{txt}{space 15}48  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}49  {c |}{col 20}{res}{space 2}-8.059496{col 32}{space 2} 3.415965{col 43}{space 1}   -2.36{col 52}{space 3}0.025{col 60}{space 4}-15.04593{col 73}{space 3}-1.073065
{txt}{space 15}53  {c |}{col 20}{res}{space 2} 68.72162{col 32}{space 2} 2.800628{col 43}{space 1}   24.54{col 52}{space 3}0.000{col 60}{space 4}  62.9937{col 73}{space 3} 74.44955
{txt}{space 15}62  {c |}{col 20}{res}{space 2} 2.507586{col 32}{space 2} 7.340154{col 43}{space 1}    0.34{col 52}{space 3}0.735{col 60}{space 4}-12.50471{col 73}{space 3} 17.51989
{txt}{space 15}65  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}69  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}70  {c |}{col 20}{res}{space 2} 2.634373{col 32}{space 2} 9.340357{col 43}{space 1}    0.28{col 52}{space 3}0.780{col 60}{space 4} -16.4688{col 73}{space 3} 21.73755
{txt}{space 18} {c |}
{space 8}agetrimmed {c |}{col 20}{res}{space 2}-.1892597{col 32}{space 2}  .274423{col 43}{space 1}   -0.69{col 52}{space 3}0.496{col 60}{space 4}-.7505176{col 73}{space 3} .3719983
{txt}{space 5}heighttrimmed {c |}{col 20}{res}{space 2}-.2119855{col 32}{space 2} 1.575768{col 43}{space 1}   -0.13{col 52}{space 3}0.894{col 60}{space 4}-3.434794{col 73}{space 3} 3.010823
{txt}{space 6}percentblack {c |}{col 20}{res}{space 2}-9.947983{col 32}{space 2} 28.84683{col 43}{space 1}   -0.34{col 52}{space 3}0.733{col 60}{space 4}-68.94638{col 73}{space 3} 49.05041
{txt}{space 7}manufoutput {c |}{col 20}{res}{space 2} .0000877{col 32}{space 2} .0280872{col 43}{space 1}    0.00{col 52}{space 3}0.998{col 60}{space 4}-.0573571{col 73}{space 3} .0575324
{txt}{space 13}urban {c |}{col 20}{res}{space 2} .0153568{col 32}{space 2} 10.04438{col 43}{space 1}    0.00{col 52}{space 3}0.999{col 60}{space 4} -20.5277{col 73}{space 3} 20.55841
{txt}{space 4}proportionfarm {c |}{col 20}{res}{space 2} 5.854041{col 32}{space 2} 7.766711{col 43}{space 1}    0.75{col 52}{space 3}0.457{col 60}{space 4}-10.03067{col 73}{space 3} 21.73875
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}  149.059{col 32}{space 2} 112.1268{col 43}{space 1}    1.33{col 52}{space 3}0.194{col 60}{space 4}-80.26609{col 73}{space 3} 378.3841
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. eststo m5: areg weighttrimmed badstate_post_1880 i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct==1 & examdate>18751015 & examdate<18831015 & sameborder1879==1 & distancemean7583<300, cluster(distancemean_7583_20) absorb(recid)
{txt}note: 9.state_num omitted because of collinearity
{txt}note: 12.state_num omitted because of collinearity
{txt}note: 18.state_num omitted because of collinearity
{txt}note: 20.state_num omitted because of collinearity
{txt}note: 21.state_num omitted because of collinearity
{txt}note: 26.state_num omitted because of collinearity
{txt}note: 34.state_num omitted because of collinearity
{txt}note: 38.state_num omitted because of collinearity
{txt}note: 40.state_num omitted because of collinearity
{txt}note: 48.state_num omitted because of collinearity
{txt}note: 65.state_num omitted because of collinearity
{txt}note: 69.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     1,241
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}       847
{txt}{col 49}{help j_robustsingular##|_new:F(  18,     29)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.9368
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7858
{txt}{col 49}Root MSE{col 67}= {res}    8.6746

{txt}{ralign 84:(Std. Err. adjusted for {res:30} clusters in distancemean_7583_20)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     weighttrimmed{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post_1880 {c |}{col 20}{res}{space 2}-1.707596{col 32}{space 2}  3.09366{col 43}{space 1}   -0.55{col 52}{space 3}0.585{col 60}{space 4}-8.034841{col 73}{space 3} 4.619648
{txt}{space 18} {c |}
{space 14}year {c |}
{space 13}1876  {c |}{col 20}{res}{space 2} 3.636107{col 32}{space 2} 6.413096{col 43}{space 1}    0.57{col 52}{space 3}0.575{col 60}{space 4}-9.480147{col 73}{space 3} 16.75236
{txt}{space 13}1877  {c |}{col 20}{res}{space 2} 4.136431{col 32}{space 2} 5.380272{col 43}{space 1}    0.77{col 52}{space 3}0.448{col 60}{space 4}-6.867462{col 73}{space 3} 15.14032
{txt}{space 13}1878  {c |}{col 20}{res}{space 2} 5.584254{col 32}{space 2} 5.930379{col 43}{space 1}    0.94{col 52}{space 3}0.354{col 60}{space 4}-6.544733{col 73}{space 3} 17.71324
{txt}{space 13}1879  {c |}{col 20}{res}{space 2} 6.114277{col 32}{space 2} 6.816859{col 43}{space 1}    0.90{col 52}{space 3}0.377{col 60}{space 4}-7.827765{col 73}{space 3} 20.05632
{txt}{space 13}1880  {c |}{col 20}{res}{space 2} 1.818718{col 32}{space 2}  7.19612{col 43}{space 1}    0.25{col 52}{space 3}0.802{col 60}{space 4}  -12.899{col 73}{space 3} 16.53644
{txt}{space 13}1881  {c |}{col 20}{res}{space 2} 3.595135{col 32}{space 2} 7.152459{col 43}{space 1}    0.50{col 52}{space 3}0.619{col 60}{space 4}-11.03329{col 73}{space 3} 18.22356
{txt}{space 13}1882  {c |}{col 20}{res}{space 2} 4.770535{col 32}{space 2} 8.570415{col 43}{space 1}    0.56{col 52}{space 3}0.582{col 60}{space 4}-12.75793{col 73}{space 3}   22.299
{txt}{space 13}1883  {c |}{col 20}{res}{space 2} 2.774978{col 32}{space 2}  7.70046{col 43}{space 1}    0.36{col 52}{space 3}0.721{col 60}{space 4}-12.97423{col 73}{space 3} 18.52419
{txt}{space 18} {c |}
{space 9}state_num {c |}
{space 16}3  {c |}{col 20}{res}{space 2} 1.925375{col 32}{space 2} 7.346396{col 43}{space 1}    0.26{col 52}{space 3}0.795{col 60}{space 4}-13.09969{col 73}{space 3} 16.95044
{txt}{space 16}9  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}10  {c |}{col 20}{res}{space 2} 53.07965{col 32}{space 2} 5.871315{col 43}{space 1}    9.04{col 52}{space 3}0.000{col 60}{space 4} 41.07147{col 73}{space 3} 65.08784
{txt}{space 15}11  {c |}{col 20}{res}{space 2} 66.44917{col 32}{space 2} 11.22695{col 43}{space 1}    5.92{col 52}{space 3}0.000{col 60}{space 4} 43.48749{col 73}{space 3} 89.41086
{txt}{space 15}12  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}18  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}20  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}21  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}25  {c |}{col 20}{res}{space 2}-.7474842{col 32}{space 2} 7.044289{col 43}{space 1}   -0.11{col 52}{space 3}0.916{col 60}{space 4}-15.15467{col 73}{space 3}  13.6597
{txt}{space 15}26  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}28  {c |}{col 20}{res}{space 2} 53.66893{col 32}{space 2} 12.28755{col 43}{space 1}    4.37{col 52}{space 3}0.000{col 60}{space 4} 28.53807{col 73}{space 3} 78.79979
{txt}{space 15}29  {c |}{col 20}{res}{space 2} 2.147261{col 32}{space 2}   7.5663{col 43}{space 1}    0.28{col 52}{space 3}0.779{col 60}{space 4}-13.32756{col 73}{space 3} 17.62208
{txt}{space 15}31  {c |}{col 20}{res}{space 2}-10.01028{col 32}{space 2}  4.35311{col 43}{space 1}   -2.30{col 52}{space 3}0.029{col 60}{space 4}-18.91339{col 73}{space 3}-1.107171
{txt}{space 15}33  {c |}{col 20}{res}{space 2} 2.880592{col 32}{space 2} 7.538399{col 43}{space 1}    0.38{col 52}{space 3}0.705{col 60}{space 4}-12.53716{col 73}{space 3} 18.29835
{txt}{space 15}34  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}38  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}40  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}42  {c |}{col 20}{res}{space 2} 63.76154{col 32}{space 2}   5.2112{col 43}{space 1}   12.24{col 52}{space 3}0.000{col 60}{space 4} 53.10344{col 73}{space 3} 74.41965
{txt}{space 15}48  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}49  {c |}{col 20}{res}{space 2}-8.205516{col 32}{space 2} 3.427177{col 43}{space 1}   -2.39{col 52}{space 3}0.023{col 60}{space 4}-15.21488{col 73}{space 3}-1.196152
{txt}{space 15}53  {c |}{col 20}{res}{space 2} 68.43403{col 32}{space 2} 2.732312{col 43}{space 1}   25.05{col 52}{space 3}0.000{col 60}{space 4} 62.84583{col 73}{space 3} 74.02224
{txt}{space 15}62  {c |}{col 20}{res}{space 2} 2.610044{col 32}{space 2} 7.397263{col 43}{space 1}    0.35{col 52}{space 3}0.727{col 60}{space 4}-12.51906{col 73}{space 3} 17.73915
{txt}{space 15}65  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}69  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}70  {c |}{col 20}{res}{space 2} 4.089904{col 32}{space 2} 8.700898{col 43}{space 1}    0.47{col 52}{space 3}0.642{col 60}{space 4}-13.70543{col 73}{space 3} 21.88524
{txt}{space 18} {c |}
{space 8}agetrimmed {c |}{col 20}{res}{space 2}-.1838982{col 32}{space 2} .2676999{col 43}{space 1}   -0.69{col 52}{space 3}0.498{col 60}{space 4}-.7314059{col 73}{space 3} .3636096
{txt}{space 5}heighttrimmed {c |}{col 20}{res}{space 2}-.2179172{col 32}{space 2} 1.587837{col 43}{space 1}   -0.14{col 52}{space 3}0.892{col 60}{space 4}-3.465408{col 73}{space 3} 3.029574
{txt}{space 6}percentblack {c |}{col 20}{res}{space 2}-10.07658{col 32}{space 2} 28.21578{col 43}{space 1}   -0.36{col 52}{space 3}0.724{col 60}{space 4}-67.78432{col 73}{space 3} 47.63116
{txt}{space 7}manufoutput {c |}{col 20}{res}{space 2}-.0009294{col 32}{space 2} .0277129{col 43}{space 1}   -0.03{col 52}{space 3}0.973{col 60}{space 4}-.0576086{col 73}{space 3} .0557498
{txt}{space 13}urban {c |}{col 20}{res}{space 2}-.2326208{col 32}{space 2} 9.902384{col 43}{space 1}   -0.02{col 52}{space 3}0.981{col 60}{space 4}-20.48527{col 73}{space 3} 20.02003
{txt}{space 4}proportionfarm {c |}{col 20}{res}{space 2} 5.362623{col 32}{space 2} 7.541743{col 43}{space 1}    0.71{col 52}{space 3}0.483{col 60}{space 4}-10.06197{col 73}{space 3} 20.78722
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 149.5479{col 32}{space 2} 113.1675{col 43}{space 1}    1.32{col 52}{space 3}0.197{col 60}{space 4} -81.9057{col 73}{space 3} 381.0014
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. eststo m6: areg weighttrimmed badstate_post_1881 i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct==1 & examdate>18751015 & examdate<18831015 & sameborder1879==1 & distancemean7583<300, cluster(distancemean_7583_20) absorb(recid)
{txt}note: 9.state_num omitted because of collinearity
{txt}note: 12.state_num omitted because of collinearity
{txt}note: 18.state_num omitted because of collinearity
{txt}note: 20.state_num omitted because of collinearity
{txt}note: 26.state_num omitted because of collinearity
{txt}note: 28.state_num omitted because of collinearity
{txt}note: 34.state_num omitted because of collinearity
{txt}note: 38.state_num omitted because of collinearity
{txt}note: 40.state_num omitted because of collinearity
{txt}note: 48.state_num omitted because of collinearity
{txt}note: 65.state_num omitted because of collinearity
{txt}note: 69.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     1,241
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}       847
{txt}{col 49}{help j_robustsingular##|_new:F(  18,     29)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.9369
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7862
{txt}{col 49}Root MSE{col 67}= {res}    8.6665

{txt}{ralign 84:(Std. Err. adjusted for {res:30} clusters in distancemean_7583_20)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     weighttrimmed{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post_1881 {c |}{col 20}{res}{space 2}-2.177738{col 32}{space 2} 3.348416{col 43}{space 1}   -0.65{col 52}{space 3}0.521{col 60}{space 4}-9.026018{col 73}{space 3} 4.670543
{txt}{space 18} {c |}
{space 14}year {c |}
{space 13}1876  {c |}{col 20}{res}{space 2} 3.874471{col 32}{space 2} 6.545563{col 43}{space 1}    0.59{col 52}{space 3}0.558{col 60}{space 4}-9.512707{col 73}{space 3} 17.26165
{txt}{space 13}1877  {c |}{col 20}{res}{space 2} 4.346145{col 32}{space 2} 5.462069{col 43}{space 1}    0.80{col 52}{space 3}0.433{col 60}{space 4}-6.825041{col 73}{space 3} 15.51733
{txt}{space 13}1878  {c |}{col 20}{res}{space 2} 5.780999{col 32}{space 2} 6.018256{col 43}{space 1}    0.96{col 52}{space 3}0.345{col 60}{space 4}-6.527717{col 73}{space 3} 18.08972
{txt}{space 13}1879  {c |}{col 20}{res}{space 2} 6.417046{col 32}{space 2} 7.024595{col 43}{space 1}    0.91{col 52}{space 3}0.369{col 60}{space 4}-7.949865{col 73}{space 3} 20.78396
{txt}{space 13}1880  {c |}{col 20}{res}{space 2} 2.029457{col 32}{space 2} 7.310798{col 43}{space 1}    0.28{col 52}{space 3}0.783{col 60}{space 4} -12.9228{col 73}{space 3} 16.98172
{txt}{space 13}1881  {c |}{col 20}{res}{space 2} 3.525706{col 32}{space 2}  6.92013{col 43}{space 1}    0.51{col 52}{space 3}0.614{col 60}{space 4}-10.62755{col 73}{space 3} 17.67896
{txt}{space 13}1882  {c |}{col 20}{res}{space 2} 5.202217{col 32}{space 2} 9.007236{col 43}{space 1}    0.58{col 52}{space 3}0.568{col 60}{space 4}-13.21965{col 73}{space 3} 23.62408
{txt}{space 13}1883  {c |}{col 20}{res}{space 2} 3.104562{col 32}{space 2} 8.032145{col 43}{space 1}    0.39{col 52}{space 3}0.702{col 60}{space 4}-13.32302{col 73}{space 3} 19.53214
{txt}{space 18} {c |}
{space 9}state_num {c |}
{space 16}3  {c |}{col 20}{res}{space 2} 2.115991{col 32}{space 2} 8.024039{col 43}{space 1}    0.26{col 52}{space 3}0.794{col 60}{space 4}-14.29501{col 73}{space 3} 18.52699
{txt}{space 16}9  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}10  {c |}{col 20}{res}{space 2}-.3208156{col 32}{space 2} 7.545274{col 43}{space 1}   -0.04{col 52}{space 3}0.966{col 60}{space 4}-15.75263{col 73}{space 3}   15.111
{txt}{space 15}11  {c |}{col 20}{res}{space 2} 14.00448{col 32}{space 2}  16.3795{col 43}{space 1}    0.86{col 52}{space 3}0.400{col 60}{space 4}-19.49536{col 73}{space 3} 47.50431
{txt}{space 15}12  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}18  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}20  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}21  {c |}{col 20}{res}{space 2}-53.18632{col 32}{space 2}  12.8274{col 43}{space 1}   -4.15{col 52}{space 3}0.000{col 60}{space 4}-79.42131{col 73}{space 3}-26.95133
{txt}{space 15}25  {c |}{col 20}{res}{space 2}-.2949181{col 32}{space 2} 7.104254{col 43}{space 1}   -0.04{col 52}{space 3}0.967{col 60}{space 4}-14.82475{col 73}{space 3} 14.23491
{txt}{space 15}26  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}28  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}29  {c |}{col 20}{res}{space 2} 2.151176{col 32}{space 2}  7.86376{col 43}{space 1}    0.27{col 52}{space 3}0.786{col 60}{space 4}-13.93202{col 73}{space 3} 18.23437
{txt}{space 15}31  {c |}{col 20}{res}{space 2} -63.5877{col 32}{space 2} 14.03435{col 43}{space 1}   -4.53{col 52}{space 3}0.000{col 60}{space 4}-92.29118{col 73}{space 3}-34.88423
{txt}{space 15}33  {c |}{col 20}{res}{space 2} 1.564077{col 32}{space 2} 7.809063{col 43}{space 1}    0.20{col 52}{space 3}0.843{col 60}{space 4}-14.40725{col 73}{space 3}  17.5354
{txt}{space 15}34  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}38  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}40  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}42  {c |}{col 20}{res}{space 2} 10.46997{col 32}{space 2} 9.066609{col 43}{space 1}    1.15{col 52}{space 3}0.258{col 60}{space 4}-8.073324{col 73}{space 3} 29.01327
{txt}{space 15}48  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}49  {c |}{col 20}{res}{space 2} -61.4566{col 32}{space 2} 10.67805{col 43}{space 1}   -5.76{col 52}{space 3}0.000{col 60}{space 4}-83.29565{col 73}{space 3}-39.61754
{txt}{space 15}53  {c |}{col 20}{res}{space 2} 15.24809{col 32}{space 2} 11.97191{col 43}{space 1}    1.27{col 52}{space 3}0.213{col 60}{space 4} -9.23722{col 73}{space 3}  39.7334
{txt}{space 15}62  {c |}{col 20}{res}{space 2} 3.103868{col 32}{space 2} 8.142265{col 43}{space 1}    0.38{col 52}{space 3}0.706{col 60}{space 4}-13.54893{col 73}{space 3} 19.75667
{txt}{space 15}65  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}69  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}70  {c |}{col 20}{res}{space 2} 4.342432{col 32}{space 2} 8.676599{col 43}{space 1}    0.50{col 52}{space 3}0.621{col 60}{space 4} -13.4032{col 73}{space 3} 22.08807
{txt}{space 18} {c |}
{space 8}agetrimmed {c |}{col 20}{res}{space 2}-.1856349{col 32}{space 2} .2643038{col 43}{space 1}   -0.70{col 52}{space 3}0.488{col 60}{space 4}-.7261969{col 73}{space 3} .3549272
{txt}{space 5}heighttrimmed {c |}{col 20}{res}{space 2}-.2580697{col 32}{space 2} 1.620755{col 43}{space 1}   -0.16{col 52}{space 3}0.875{col 60}{space 4}-3.572886{col 73}{space 3} 3.056746
{txt}{space 6}percentblack {c |}{col 20}{res}{space 2}-11.61708{col 32}{space 2} 27.67015{col 43}{space 1}   -0.42{col 52}{space 3}0.678{col 60}{space 4}-68.20889{col 73}{space 3} 44.97473
{txt}{space 7}manufoutput {c |}{col 20}{res}{space 2} -.000906{col 32}{space 2} .0273167{col 43}{space 1}   -0.03{col 52}{space 3}0.974{col 60}{space 4} -.056775{col 73}{space 3}  .054963
{txt}{space 13}urban {c |}{col 20}{res}{space 2}-.2601888{col 32}{space 2} 9.829127{col 43}{space 1}   -0.03{col 52}{space 3}0.979{col 60}{space 4}-20.36301{col 73}{space 3} 19.84263
{txt}{space 4}proportionfarm {c |}{col 20}{res}{space 2} 5.417294{col 32}{space 2} 7.368019{col 43}{space 1}    0.74{col 52}{space 3}0.468{col 60}{space 4}-9.651997{col 73}{space 3} 20.48658
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 178.7327{col 32}{space 2} 109.9001{col 43}{space 1}    1.63{col 52}{space 3}0.115{col 60}{space 4}-46.03833{col 73}{space 3} 403.5037
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. eststo m7: areg weighttrimmed badstate_post_1882 i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct==1 & examdate>18751015 & examdate<18831015 & sameborder1879==1 & distancemean7583<300, cluster(distancemean_7583_20) absorb(recid)
{txt}note: 9.state_num omitted because of collinearity
{txt}note: 12.state_num omitted because of collinearity
{txt}note: 18.state_num omitted because of collinearity
{txt}note: 20.state_num omitted because of collinearity
{txt}note: 21.state_num omitted because of collinearity
{txt}note: 26.state_num omitted because of collinearity
{txt}note: 34.state_num omitted because of collinearity
{txt}note: 38.state_num omitted because of collinearity
{txt}note: 40.state_num omitted because of collinearity
{txt}note: 48.state_num omitted because of collinearity
{txt}note: 65.state_num omitted because of collinearity
{txt}note: 69.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     1,241
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}       847
{txt}{col 49}{help j_robustsingular##|_new:F(  18,     29)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.9369
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7861
{txt}{col 49}Root MSE{col 67}= {res}    8.6678

{txt}{ralign 84:(Std. Err. adjusted for {res:30} clusters in distancemean_7583_20)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     weighttrimmed{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post_1882 {c |}{col 20}{res}{space 2}-2.572994{col 32}{space 2} 3.399407{col 43}{space 1}   -0.76{col 52}{space 3}0.455{col 60}{space 4}-9.525561{col 73}{space 3} 4.379574
{txt}{space 18} {c |}
{space 14}year {c |}
{space 13}1876  {c |}{col 20}{res}{space 2} 3.341206{col 32}{space 2} 6.262589{col 43}{space 1}    0.53{col 52}{space 3}0.598{col 60}{space 4}-9.467227{col 73}{space 3} 16.14964
{txt}{space 13}1877  {c |}{col 20}{res}{space 2} 3.881655{col 32}{space 2} 5.334608{col 43}{space 1}    0.73{col 52}{space 3}0.473{col 60}{space 4}-7.028843{col 73}{space 3} 14.79215
{txt}{space 13}1878  {c |}{col 20}{res}{space 2}  5.31579{col 32}{space 2} 5.860138{col 43}{space 1}    0.91{col 52}{space 3}0.372{col 60}{space 4}-6.669537{col 73}{space 3} 17.30112
{txt}{space 13}1879  {c |}{col 20}{res}{space 2} 5.907772{col 32}{space 2} 6.708536{col 43}{space 1}    0.88{col 52}{space 3}0.386{col 60}{space 4}-7.812725{col 73}{space 3} 19.62827
{txt}{space 13}1880  {c |}{col 20}{res}{space 2} 1.585805{col 32}{space 2}  7.07233{col 43}{space 1}    0.22{col 52}{space 3}0.824{col 60}{space 4}-12.87873{col 73}{space 3} 16.05034
{txt}{space 13}1881  {c |}{col 20}{res}{space 2} 2.964056{col 32}{space 2} 6.508569{col 43}{space 1}    0.46{col 52}{space 3}0.652{col 60}{space 4}-10.34746{col 73}{space 3} 16.27557
{txt}{space 13}1882  {c |}{col 20}{res}{space 2} 4.297063{col 32}{space 2} 7.922464{col 43}{space 1}    0.54{col 52}{space 3}0.592{col 60}{space 4}-11.90619{col 73}{space 3} 20.50032
{txt}{space 13}1883  {c |}{col 20}{res}{space 2} 2.673064{col 32}{space 2} 7.405157{col 43}{space 1}    0.36{col 52}{space 3}0.721{col 60}{space 4}-12.47218{col 73}{space 3} 17.81831
{txt}{space 18} {c |}
{space 9}state_num {c |}
{space 16}3  {c |}{col 20}{res}{space 2}-.6682339{col 32}{space 2} 8.231438{col 43}{space 1}   -0.08{col 52}{space 3}0.936{col 60}{space 4}-17.50342{col 73}{space 3} 16.16695
{txt}{space 16}9  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}10  {c |}{col 20}{res}{space 2} 52.72792{col 32}{space 2} 5.784522{col 43}{space 1}    9.12{col 52}{space 3}0.000{col 60}{space 4} 40.89725{col 73}{space 3}  64.5586
{txt}{space 15}11  {c |}{col 20}{res}{space 2} 66.55401{col 32}{space 2} 11.60617{col 43}{space 1}    5.73{col 52}{space 3}0.000{col 60}{space 4} 42.81673{col 73}{space 3} 90.29129
{txt}{space 15}12  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}18  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}20  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}21  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}25  {c |}{col 20}{res}{space 2}-.1388956{col 32}{space 2} 7.042513{col 43}{space 1}   -0.02{col 52}{space 3}0.984{col 60}{space 4}-14.54245{col 73}{space 3} 14.26466
{txt}{space 15}26  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}28  {c |}{col 20}{res}{space 2} 53.39185{col 32}{space 2} 11.76542{col 43}{space 1}    4.54{col 52}{space 3}0.000{col 60}{space 4} 29.32886{col 73}{space 3} 77.45484
{txt}{space 15}29  {c |}{col 20}{res}{space 2} 1.577949{col 32}{space 2} 8.372485{col 43}{space 1}    0.19{col 52}{space 3}0.852{col 60}{space 4}-15.54571{col 73}{space 3}  18.7016
{txt}{space 15}31  {c |}{col 20}{res}{space 2}-10.39282{col 32}{space 2} 4.041788{col 43}{space 1}   -2.57{col 52}{space 3}0.016{col 60}{space 4}-18.65921{col 73}{space 3}-2.126435
{txt}{space 15}33  {c |}{col 20}{res}{space 2}-.8782143{col 32}{space 2} 7.843563{col 43}{space 1}   -0.11{col 52}{space 3}0.912{col 60}{space 4} -16.9201{col 73}{space 3} 15.16367
{txt}{space 15}34  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}38  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}40  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}42  {c |}{col 20}{res}{space 2} 63.53658{col 32}{space 2} 5.080106{col 43}{space 1}   12.51{col 52}{space 3}0.000{col 60}{space 4}  53.1466{col 73}{space 3} 73.92656
{txt}{space 15}48  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}49  {c |}{col 20}{res}{space 2}-8.305507{col 32}{space 2} 3.127475{col 43}{space 1}   -2.66{col 52}{space 3}0.013{col 60}{space 4}-14.70191{col 73}{space 3}-1.909101
{txt}{space 15}53  {c |}{col 20}{res}{space 2} 68.34394{col 32}{space 2}  2.64043{col 43}{space 1}   25.88{col 52}{space 3}0.000{col 60}{space 4} 62.94365{col 73}{space 3} 73.74422
{txt}{space 15}62  {c |}{col 20}{res}{space 2} 2.399838{col 32}{space 2} 7.418768{col 43}{space 1}    0.32{col 52}{space 3}0.749{col 60}{space 4}-12.77325{col 73}{space 3} 17.57292
{txt}{space 15}65  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}69  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}70  {c |}{col 20}{res}{space 2} 2.570499{col 32}{space 2} 9.529267{col 43}{space 1}    0.27{col 52}{space 3}0.789{col 60}{space 4}-16.91904{col 73}{space 3} 22.06004
{txt}{space 18} {c |}
{space 8}agetrimmed {c |}{col 20}{res}{space 2}-.1855333{col 32}{space 2} .2661688{col 43}{space 1}   -0.70{col 52}{space 3}0.491{col 60}{space 4}-.7299095{col 73}{space 3} .3588429
{txt}{space 5}heighttrimmed {c |}{col 20}{res}{space 2}-.2224332{col 32}{space 2} 1.580691{col 43}{space 1}   -0.14{col 52}{space 3}0.889{col 60}{space 4}-3.455309{col 73}{space 3} 3.010443
{txt}{space 6}percentblack {c |}{col 20}{res}{space 2}-9.239073{col 32}{space 2} 28.20136{col 43}{space 1}   -0.33{col 52}{space 3}0.746{col 60}{space 4}-66.91732{col 73}{space 3} 48.43918
{txt}{space 7}manufoutput {c |}{col 20}{res}{space 2}-.0000477{col 32}{space 2} .0273906{col 43}{space 1}   -0.00{col 52}{space 3}0.999{col 60}{space 4}-.0560678{col 73}{space 3} .0559724
{txt}{space 13}urban {c |}{col 20}{res}{space 2}-.5411783{col 32}{space 2} 9.934565{col 43}{space 1}   -0.05{col 52}{space 3}0.957{col 60}{space 4}-20.85964{col 73}{space 3} 19.77729
{txt}{space 4}proportionfarm {c |}{col 20}{res}{space 2} 4.995778{col 32}{space 2} 7.769582{col 43}{space 1}    0.64{col 52}{space 3}0.525{col 60}{space 4} -10.8948{col 73}{space 3} 20.88636
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 150.5936{col 32}{space 2} 112.5013{col 43}{space 1}    1.34{col 52}{space 3}0.191{col 60}{space 4} -79.4974{col 73}{space 3} 380.6845
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. estout m1 m2 m3 m4 m5 m6 m7 using Table16.tex, replace style(tex) collabels(none) mlabels("Model 1" "Model 2" "Model 3" "Model 4" "Model 5" "Model 6" "Model 7", span prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) prehead("\begin{c -(}table{c )-}[htbp!]\caption{c -(}@title{c )-}" "\begin{c -(}center{c )-}" "\scriptsize" "\begin{c -(}threeparttable{c )-}"  "\begin{c -(}tabular{c )-}{c -(}l*{c -(}@M{c )-}{c -(}rr{c )-}{c )-}" "\hline")  cells(  b(star fmt(2)) se(par fmt(2)) ) starlevels(* .10 ** .05 *** .01)   s( N ) 
{res}{txt}(note: file Table16.tex not found)
(output written to {browse  `"Table16.tex"'})

{com}. 
. *Table 17
. 
. eststo m1: areg weighttrimmed badstate_post_1876 i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct==1 & examdate>18751015 & examdate<18831015 & sameborder1879==1 & distancemean7583<200, cluster(distancemean_7583_20) absorb(recid)
{txt}note: 9.state_num omitted because of collinearity
{txt}note: 10.state_num omitted because of collinearity
{txt}note: 12.state_num omitted because of collinearity
{txt}note: 18.state_num omitted because of collinearity
{txt}note: 25.state_num omitted because of collinearity
{txt}note: 26.state_num omitted because of collinearity
{txt}note: 33.state_num omitted because of collinearity
{txt}note: 34.state_num omitted because of collinearity
{txt}note: 40.state_num omitted because of collinearity
{txt}note: 48.state_num omitted because of collinearity
{txt}note: 65.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     1,040
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}       704
{txt}{col 49}{help j_robustsingular##|_new:F(  17,     19)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.9336
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7782
{txt}{col 49}Root MSE{col 67}= {res}    8.9452

{txt}{ralign 84:(Std. Err. adjusted for {res:20} clusters in distancemean_7583_20)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     weighttrimmed{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post_1876 {c |}{col 20}{res}{space 2} 6.382067{col 32}{space 2} 4.484378{col 43}{space 1}    1.42{col 52}{space 3}0.171{col 60}{space 4}-3.003845{col 73}{space 3} 15.76798
{txt}{space 18} {c |}
{space 14}year {c |}
{space 13}1876  {c |}{col 20}{res}{space 2}  2.32459{col 32}{space 2} 6.117959{col 43}{space 1}    0.38{col 52}{space 3}0.708{col 60}{space 4}-10.48044{col 73}{space 3} 15.12963
{txt}{space 13}1877  {c |}{col 20}{res}{space 2} 2.429537{col 32}{space 2} 4.956302{col 43}{space 1}    0.49{col 52}{space 3}0.630{col 60}{space 4}-7.944121{col 73}{space 3}  12.8032
{txt}{space 13}1878  {c |}{col 20}{res}{space 2} 2.962463{col 32}{space 2} 4.964602{col 43}{space 1}    0.60{col 52}{space 3}0.558{col 60}{space 4} -7.42857{col 73}{space 3} 13.35349
{txt}{space 13}1879  {c |}{col 20}{res}{space 2}  4.00182{col 32}{space 2} 6.970747{col 43}{space 1}    0.57{col 52}{space 3}0.573{col 60}{space 4}-10.58812{col 73}{space 3} 18.59176
{txt}{space 13}1880  {c |}{col 20}{res}{space 2}-1.768341{col 32}{space 2} 5.267735{col 43}{space 1}   -0.34{col 52}{space 3}0.741{col 60}{space 4}-12.79384{col 73}{space 3} 9.257155
{txt}{space 13}1881  {c |}{col 20}{res}{space 2} .6930832{col 32}{space 2} 6.410213{col 43}{space 1}    0.11{col 52}{space 3}0.915{col 60}{space 4}-12.72365{col 73}{space 3} 14.10981
{txt}{space 13}1882  {c |}{col 20}{res}{space 2} 1.838579{col 32}{space 2} 8.154207{col 43}{space 1}    0.23{col 52}{space 3}0.824{col 60}{space 4}-15.22837{col 73}{space 3} 18.90553
{txt}{space 13}1883  {c |}{col 20}{res}{space 2}-.4201791{col 32}{space 2} 6.632412{col 43}{space 1}   -0.06{col 52}{space 3}0.950{col 60}{space 4}-14.30198{col 73}{space 3} 13.46162
{txt}{space 18} {c |}
{space 9}state_num {c |}
{space 16}3  {c |}{col 20}{res}{space 2}-.9823486{col 32}{space 2} 3.866534{col 43}{space 1}   -0.25{col 52}{space 3}0.802{col 60}{space 4}-9.075097{col 73}{space 3}   7.1104
{txt}{space 16}9  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}10  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}11  {c |}{col 20}{res}{space 2} 10.92361{col 32}{space 2} 17.34839{col 43}{space 1}    0.63{col 52}{space 3}0.536{col 60}{space 4}-25.38699{col 73}{space 3} 47.23421
{txt}{space 15}12  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}18  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}20  {c |}{col 20}{res}{space 2}-.8298033{col 32}{space 2} 8.721653{col 43}{space 1}   -0.10{col 52}{space 3}0.925{col 60}{space 4}-19.08443{col 73}{space 3} 17.42483
{txt}{space 15}21  {c |}{col 20}{res}{space 2}-53.95217{col 32}{space 2} 5.214417{col 43}{space 1}  -10.35{col 52}{space 3}0.000{col 60}{space 4}-64.86607{col 73}{space 3}-43.03827
{txt}{space 15}25  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}26  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}29  {c |}{col 20}{res}{space 2} .9721654{col 32}{space 2} 9.707013{col 43}{space 1}    0.10{col 52}{space 3}0.921{col 60}{space 4}-19.34485{col 73}{space 3} 21.28918
{txt}{space 15}33  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}34  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}40  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}42  {c |}{col 20}{res}{space 2} 9.933728{col 32}{space 2} 4.899264{col 43}{space 1}    2.03{col 52}{space 3}0.057{col 60}{space 4}-.3205506{col 73}{space 3} 20.18801
{txt}{space 15}48  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}49  {c |}{col 20}{res}{space 2}-62.41634{col 32}{space 2} 5.506866{col 43}{space 1}  -11.33{col 52}{space 3}0.000{col 60}{space 4}-73.94235{col 73}{space 3}-50.89034
{txt}{space 15}53  {c |}{col 20}{res}{space 2} 14.69218{col 32}{space 2} 6.140718{col 43}{space 1}    2.39{col 52}{space 3}0.027{col 60}{space 4} 1.839505{col 73}{space 3} 27.54485
{txt}{space 15}62  {c |}{col 20}{res}{space 2} 10.68317{col 32}{space 2} 6.683735{col 43}{space 1}    1.60{col 52}{space 3}0.126{col 60}{space 4}-3.306052{col 73}{space 3} 24.67238
{txt}{space 15}65  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}70  {c |}{col 20}{res}{space 2} 2.503053{col 32}{space 2} 11.33802{col 43}{space 1}    0.22{col 52}{space 3}0.828{col 60}{space 4} -21.2277{col 73}{space 3} 26.23381
{txt}{space 18} {c |}
{space 8}agetrimmed {c |}{col 20}{res}{space 2}-.2392654{col 32}{space 2} .2641047{col 43}{space 1}   -0.91{col 52}{space 3}0.376{col 60}{space 4} -.792043{col 73}{space 3} .3135121
{txt}{space 5}heighttrimmed {c |}{col 20}{res}{space 2}-.4448365{col 32}{space 2} 2.085577{col 43}{space 1}   -0.21{col 52}{space 3}0.833{col 60}{space 4}-4.809999{col 73}{space 3} 3.920326
{txt}{space 6}percentblack {c |}{col 20}{res}{space 2} .9490338{col 32}{space 2} 35.13379{col 43}{space 1}    0.03{col 52}{space 3}0.979{col 60}{space 4}-72.58684{col 73}{space 3} 74.48491
{txt}{space 7}manufoutput {c |}{col 20}{res}{space 2} .0069771{col 32}{space 2} .0395875{col 43}{space 1}    0.18{col 52}{space 3}0.862{col 60}{space 4}-.0758805{col 73}{space 3} .0898347
{txt}{space 13}urban {c |}{col 20}{res}{space 2}-2.008417{col 32}{space 2} 14.75052{col 43}{space 1}   -0.14{col 52}{space 3}0.893{col 60}{space 4}-32.88161{col 73}{space 3} 28.86478
{txt}{space 4}proportionfarm {c |}{col 20}{res}{space 2} 7.072532{col 32}{space 2} 8.334643{col 43}{space 1}    0.85{col 52}{space 3}0.407{col 60}{space 4}-10.37208{col 73}{space 3} 24.51714
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 190.3063{col 32}{space 2} 142.6828{col 43}{space 1}    1.33{col 52}{space 3}0.198{col 60}{space 4}-108.3323{col 73}{space 3} 488.9448
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. eststo m2: areg weighttrimmed badstate_post_1877 i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct==1 & examdate>18751015 & examdate<18831015 & sameborder1879==1 & distancemean7583<200, cluster(distancemean_7583_20) absorb(recid)
{txt}note: 9.state_num omitted because of collinearity
{txt}note: 10.state_num omitted because of collinearity
{txt}note: 12.state_num omitted because of collinearity
{txt}note: 18.state_num omitted because of collinearity
{txt}note: 25.state_num omitted because of collinearity
{txt}note: 26.state_num omitted because of collinearity
{txt}note: 33.state_num omitted because of collinearity
{txt}note: 34.state_num omitted because of collinearity
{txt}note: 40.state_num omitted because of collinearity
{txt}note: 48.state_num omitted because of collinearity
{txt}note: 65.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     1,040
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}       704
{txt}{col 49}{help j_robustsingular##|_new:F(  17,     19)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.9333
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7772
{txt}{col 49}Root MSE{col 67}= {res}    8.9660

{txt}{ralign 84:(Std. Err. adjusted for {res:20} clusters in distancemean_7583_20)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     weighttrimmed{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post_1877 {c |}{col 20}{res}{space 2} 1.415638{col 32}{space 2} 2.938569{col 43}{space 1}    0.48{col 52}{space 3}0.635{col 60}{space 4}-4.734857{col 73}{space 3} 7.566133
{txt}{space 18} {c |}
{space 14}year {c |}
{space 13}1876  {c |}{col 20}{res}{space 2}  3.17252{col 32}{space 2} 6.200045{col 43}{space 1}    0.51{col 52}{space 3}0.615{col 60}{space 4}-9.804324{col 73}{space 3} 16.14936
{txt}{space 13}1877  {c |}{col 20}{res}{space 2} 4.219184{col 32}{space 2} 5.222446{col 43}{space 1}    0.81{col 52}{space 3}0.429{col 60}{space 4}-6.711521{col 73}{space 3} 15.14989
{txt}{space 13}1878  {c |}{col 20}{res}{space 2} 4.707793{col 32}{space 2} 5.227161{col 43}{space 1}    0.90{col 52}{space 3}0.379{col 60}{space 4}-6.232781{col 73}{space 3} 15.64837
{txt}{space 13}1879  {c |}{col 20}{res}{space 2} 5.688233{col 32}{space 2}  6.89875{col 43}{space 1}    0.82{col 52}{space 3}0.420{col 60}{space 4}-8.751017{col 73}{space 3} 20.12748
{txt}{space 13}1880  {c |}{col 20}{res}{space 2}-.0489516{col 32}{space 2} 6.766823{col 43}{space 1}   -0.01{col 52}{space 3}0.994{col 60}{space 4}-14.21208{col 73}{space 3} 14.11417
{txt}{space 13}1881  {c |}{col 20}{res}{space 2} 2.417543{col 32}{space 2}  6.20954{col 43}{space 1}    0.39{col 52}{space 3}0.701{col 60}{space 4}-10.57917{col 73}{space 3} 15.41426
{txt}{space 13}1882  {c |}{col 20}{res}{space 2} 3.474312{col 32}{space 2} 7.693673{col 43}{space 1}    0.45{col 52}{space 3}0.657{col 60}{space 4}-12.62873{col 73}{space 3} 19.57735
{txt}{space 13}1883  {c |}{col 20}{res}{space 2} 1.277676{col 32}{space 2} 6.925949{col 43}{space 1}    0.18{col 52}{space 3}0.856{col 60}{space 4} -13.2185{col 73}{space 3} 15.77385
{txt}{space 18} {c |}
{space 9}state_num {c |}
{space 16}3  {c |}{col 20}{res}{space 2}-.2170179{col 32}{space 2} 3.944468{col 43}{space 1}   -0.06{col 52}{space 3}0.957{col 60}{space 4}-8.472884{col 73}{space 3} 8.038848
{txt}{space 16}9  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}10  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}11  {c |}{col 20}{res}{space 2} 12.42873{col 32}{space 2} 17.83667{col 43}{space 1}    0.70{col 52}{space 3}0.494{col 60}{space 4}-24.90385{col 73}{space 3} 49.76131
{txt}{space 15}12  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}18  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}20  {c |}{col 20}{res}{space 2}-.7623915{col 32}{space 2} 8.823667{col 43}{space 1}   -0.09{col 52}{space 3}0.932{col 60}{space 4}-19.23054{col 73}{space 3} 17.70576
{txt}{space 15}21  {c |}{col 20}{res}{space 2}-53.00291{col 32}{space 2} 5.014432{col 43}{space 1}  -10.57{col 52}{space 3}0.000{col 60}{space 4}-63.49823{col 73}{space 3}-42.50758
{txt}{space 15}25  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}26  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}29  {c |}{col 20}{res}{space 2} 1.045218{col 32}{space 2} 9.831473{col 43}{space 1}    0.11{col 52}{space 3}0.916{col 60}{space 4}-19.53229{col 73}{space 3} 21.62273
{txt}{space 15}33  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}34  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}40  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}42  {c |}{col 20}{res}{space 2} 10.87522{col 32}{space 2} 5.000965{col 43}{space 1}    2.17{col 52}{space 3}0.042{col 60}{space 4} .4080828{col 73}{space 3} 21.34236
{txt}{space 15}48  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}49  {c |}{col 20}{res}{space 2}-61.42463{col 32}{space 2} 5.575512{col 43}{space 1}  -11.02{col 52}{space 3}0.000{col 60}{space 4}-73.09431{col 73}{space 3}-49.75495
{txt}{space 15}53  {c |}{col 20}{res}{space 2}  15.7229{col 32}{space 2} 6.660891{col 43}{space 1}    2.36{col 52}{space 3}0.029{col 60}{space 4} 1.781493{col 73}{space 3}  29.6643
{txt}{space 15}62  {c |}{col 20}{res}{space 2}  11.1212{col 32}{space 2} 7.184169{col 43}{space 1}    1.55{col 52}{space 3}0.138{col 60}{space 4}-3.915436{col 73}{space 3} 26.15784
{txt}{space 15}65  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}70  {c |}{col 20}{res}{space 2} 2.286372{col 32}{space 2} 11.88062{col 43}{space 1}    0.19{col 52}{space 3}0.849{col 60}{space 4}-22.58006{col 73}{space 3}  27.1528
{txt}{space 18} {c |}
{space 8}agetrimmed {c |}{col 20}{res}{space 2}-.2349022{col 32}{space 2} .2641812{col 43}{space 1}   -0.89{col 52}{space 3}0.385{col 60}{space 4}-.7878399{col 73}{space 3} .3180355
{txt}{space 5}heighttrimmed {c |}{col 20}{res}{space 2} -.475804{col 32}{space 2} 2.105852{col 43}{space 1}   -0.23{col 52}{space 3}0.824{col 60}{space 4}-4.883402{col 73}{space 3} 3.931794
{txt}{space 6}percentblack {c |}{col 20}{res}{space 2}-.1053139{col 32}{space 2} 35.51846{col 43}{space 1}   -0.00{col 52}{space 3}0.998{col 60}{space 4}-74.44631{col 73}{space 3} 74.23568
{txt}{space 7}manufoutput {c |}{col 20}{res}{space 2} .0069438{col 32}{space 2} .0397173{col 43}{space 1}    0.17{col 52}{space 3}0.863{col 60}{space 4}-.0761854{col 73}{space 3} .0900731
{txt}{space 13}urban {c |}{col 20}{res}{space 2}-2.204909{col 32}{space 2}  14.8757{col 43}{space 1}   -0.15{col 52}{space 3}0.884{col 60}{space 4}-33.34012{col 73}{space 3}  28.9303
{txt}{space 4}proportionfarm {c |}{col 20}{res}{space 2} 7.565121{col 32}{space 2}  8.73439{col 43}{space 1}    0.87{col 52}{space 3}0.397{col 60}{space 4}-10.71617{col 73}{space 3} 25.84641
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}  191.305{col 32}{space 2} 144.7387{col 43}{space 1}    1.32{col 52}{space 3}0.202{col 60}{space 4}-111.6367{col 73}{space 3} 494.2466
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. eststo m3: areg weighttrimmed badstate_post_1878 i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct==1 & examdate>18751015 & examdate<18831015 & sameborder1879==1 & distancemean7583<200, cluster(distancemean_7583_20) absorb(recid)
{txt}note: 9.state_num omitted because of collinearity
{txt}note: 10.state_num omitted because of collinearity
{txt}note: 12.state_num omitted because of collinearity
{txt}note: 18.state_num omitted because of collinearity
{txt}note: 20.state_num omitted because of collinearity
{txt}note: 26.state_num omitted because of collinearity
{txt}note: 33.state_num omitted because of collinearity
{txt}note: 34.state_num omitted because of collinearity
{txt}note: 40.state_num omitted because of collinearity
{txt}note: 48.state_num omitted because of collinearity
{txt}note: 65.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     1,040
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}       704
{txt}{col 49}{help j_robustsingular##|_new:F(  17,     19)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.9333
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7771
{txt}{col 49}Root MSE{col 67}= {res}    8.9683

{txt}{ralign 84:(Std. Err. adjusted for {res:20} clusters in distancemean_7583_20)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     weighttrimmed{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post_1878 {c |}{col 20}{res}{space 2} .7161506{col 32}{space 2} 3.095942{col 43}{space 1}    0.23{col 52}{space 3}0.820{col 60}{space 4}-5.763731{col 73}{space 3} 7.196032
{txt}{space 18} {c |}
{space 14}year {c |}
{space 13}1876  {c |}{col 20}{res}{space 2} 3.254164{col 32}{space 2} 6.290875{col 43}{space 1}    0.52{col 52}{space 3}0.611{col 60}{space 4}-9.912789{col 73}{space 3} 16.42112
{txt}{space 13}1877  {c |}{col 20}{res}{space 2} 4.360444{col 32}{space 2} 5.285396{col 43}{space 1}    0.82{col 52}{space 3}0.420{col 60}{space 4}-6.702016{col 73}{space 3}  15.4229
{txt}{space 13}1878  {c |}{col 20}{res}{space 2} 5.053544{col 32}{space 2} 5.638483{col 43}{space 1}    0.90{col 52}{space 3}0.381{col 60}{space 4}-6.747936{col 73}{space 3} 16.85502
{txt}{space 13}1879  {c |}{col 20}{res}{space 2}  5.95441{col 32}{space 2} 6.968716{col 43}{space 1}    0.85{col 52}{space 3}0.404{col 60}{space 4} -8.63128{col 73}{space 3}  20.5401
{txt}{space 13}1880  {c |}{col 20}{res}{space 2} .2227924{col 32}{space 2} 7.312938{col 43}{space 1}    0.03{col 52}{space 3}0.976{col 60}{space 4}-15.08336{col 73}{space 3} 15.52895
{txt}{space 13}1881  {c |}{col 20}{res}{space 2} 2.676081{col 32}{space 2} 6.422413{col 43}{space 1}    0.42{col 52}{space 3}0.682{col 60}{space 4}-10.76618{col 73}{space 3} 16.11835
{txt}{space 13}1882  {c |}{col 20}{res}{space 2} 3.731536{col 32}{space 2} 7.803456{col 43}{space 1}    0.48{col 52}{space 3}0.638{col 60}{space 4}-12.60129{col 73}{space 3} 20.06436
{txt}{space 13}1883  {c |}{col 20}{res}{space 2} 1.542828{col 32}{space 2} 7.169819{col 43}{space 1}    0.22{col 52}{space 3}0.832{col 60}{space 4}-13.46378{col 73}{space 3} 16.54943
{txt}{space 18} {c |}
{space 9}state_num {c |}
{space 16}3  {c |}{col 20}{res}{space 2} -.096561{col 32}{space 2} 4.739388{col 43}{space 1}   -0.02{col 52}{space 3}0.984{col 60}{space 4}-10.01621{col 73}{space 3} 9.823093
{txt}{space 16}9  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}10  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}11  {c |}{col 20}{res}{space 2} 12.61823{col 32}{space 2} 18.02051{col 43}{space 1}    0.70{col 52}{space 3}0.492{col 60}{space 4}-25.09914{col 73}{space 3} 50.33559
{txt}{space 15}12  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}18  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}20  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}21  {c |}{col 20}{res}{space 2}-52.95631{col 32}{space 2}  4.99143{col 43}{space 1}  -10.61{col 52}{space 3}0.000{col 60}{space 4}-63.40349{col 73}{space 3}-42.50913
{txt}{space 15}25  {c |}{col 20}{res}{space 2} .6992075{col 32}{space 2} 8.884488{col 43}{space 1}    0.08{col 52}{space 3}0.938{col 60}{space 4}-17.89624{col 73}{space 3} 19.29465
{txt}{space 15}26  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}29  {c |}{col 20}{res}{space 2} 1.184889{col 32}{space 2} 9.666575{col 43}{space 1}    0.12{col 52}{space 3}0.904{col 60}{space 4}-19.04748{col 73}{space 3} 21.41726
{txt}{space 15}33  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}34  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}40  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}42  {c |}{col 20}{res}{space 2} 11.05315{col 32}{space 2} 4.958321{col 43}{space 1}    2.23{col 52}{space 3}0.038{col 60}{space 4} .6752691{col 73}{space 3} 21.43104
{txt}{space 15}48  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}49  {c |}{col 20}{res}{space 2}-61.36487{col 32}{space 2} 5.567676{col 43}{space 1}  -11.02{col 52}{space 3}0.000{col 60}{space 4}-73.01815{col 73}{space 3}-49.71159
{txt}{space 15}53  {c |}{col 20}{res}{space 2} 15.91882{col 32}{space 2} 6.645377{col 43}{space 1}    2.40{col 52}{space 3}0.027{col 60}{space 4} 2.009884{col 73}{space 3} 29.82775
{txt}{space 15}62  {c |}{col 20}{res}{space 2}  11.2499{col 32}{space 2} 7.892096{col 43}{space 1}    1.43{col 52}{space 3}0.170{col 60}{space 4}-5.268444{col 73}{space 3} 27.76825
{txt}{space 15}65  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}70  {c |}{col 20}{res}{space 2} 2.615419{col 32}{space 2} 11.54429{col 43}{space 1}    0.23{col 52}{space 3}0.823{col 60}{space 4}-21.54707{col 73}{space 3} 26.77791
{txt}{space 18} {c |}
{space 8}agetrimmed {c |}{col 20}{res}{space 2}-.2325868{col 32}{space 2} .2659615{col 43}{space 1}   -0.87{col 52}{space 3}0.393{col 60}{space 4}-.7892506{col 73}{space 3}  .324077
{txt}{space 5}heighttrimmed {c |}{col 20}{res}{space 2}-.4823336{col 32}{space 2} 2.108394{col 43}{space 1}   -0.23{col 52}{space 3}0.821{col 60}{space 4}-4.895254{col 73}{space 3} 3.930587
{txt}{space 6}percentblack {c |}{col 20}{res}{space 2}-.0062134{col 32}{space 2} 35.74104{col 43}{space 1}   -0.00{col 52}{space 3}1.000{col 60}{space 4}-74.81307{col 73}{space 3} 74.80065
{txt}{space 7}manufoutput {c |}{col 20}{res}{space 2}  .006752{col 32}{space 2} .0396947{col 43}{space 1}    0.17{col 52}{space 3}0.867{col 60}{space 4}-.0763299{col 73}{space 3}  .089834
{txt}{space 13}urban {c |}{col 20}{res}{space 2}-2.204068{col 32}{space 2} 14.96836{col 43}{space 1}   -0.15{col 52}{space 3}0.884{col 60}{space 4}-33.53321{col 73}{space 3} 29.12508
{txt}{space 4}proportionfarm {c |}{col 20}{res}{space 2}  7.57784{col 32}{space 2} 8.862514{col 43}{space 1}    0.86{col 52}{space 3}0.403{col 60}{space 4}-10.97162{col 73}{space 3}  26.1273
{txt}{space 13}_cons {c |}{col 20}{res}{space 2}  191.425{col 32}{space 2} 144.4626{col 43}{space 1}    1.33{col 52}{space 3}0.201{col 60}{space 4}-110.9386{col 73}{space 3} 493.7886
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. eststo m4: areg weighttrimmed badstate_post_1879 i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct==1 & examdate>18751015 & examdate<18831015 & sameborder1879==1 & distancemean7583<200, cluster(distancemean_7583_20) absorb(recid)
{txt}note: 9.state_num omitted because of collinearity
{txt}note: 10.state_num omitted because of collinearity
{txt}note: 12.state_num omitted because of collinearity
{txt}note: 18.state_num omitted because of collinearity
{txt}note: 25.state_num omitted because of collinearity
{txt}note: 26.state_num omitted because of collinearity
{txt}note: 33.state_num omitted because of collinearity
{txt}note: 34.state_num omitted because of collinearity
{txt}note: 40.state_num omitted because of collinearity
{txt}note: 48.state_num omitted because of collinearity
{txt}note: 65.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     1,040
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}       704
{txt}{col 49}{help j_robustsingular##|_new:F(  17,     19)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.9334
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7775
{txt}{col 49}Root MSE{col 67}= {res}    8.9605

{txt}{ralign 84:(Std. Err. adjusted for {res:20} clusters in distancemean_7583_20)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     weighttrimmed{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post_1879 {c |}{col 20}{res}{space 2} 2.395783{col 32}{space 2} 3.087576{col 43}{space 1}    0.78{col 52}{space 3}0.447{col 60}{space 4}-4.066589{col 73}{space 3} 8.858155
{txt}{space 18} {c |}
{space 14}year {c |}
{space 13}1876  {c |}{col 20}{res}{space 2} 2.978143{col 32}{space 2} 6.250211{col 43}{space 1}    0.48{col 52}{space 3}0.639{col 60}{space 4} -10.1037{col 73}{space 3} 16.05999
{txt}{space 13}1877  {c |}{col 20}{res}{space 2} 4.043033{col 32}{space 2} 5.279521{col 43}{space 1}    0.77{col 52}{space 3}0.453{col 60}{space 4}-7.007131{col 73}{space 3}  15.0932
{txt}{space 13}1878  {c |}{col 20}{res}{space 2} 4.759272{col 32}{space 2} 5.653899{col 43}{space 1}    0.84{col 52}{space 3}0.410{col 60}{space 4}-7.074475{col 73}{space 3} 16.59302
{txt}{space 13}1879  {c |}{col 20}{res}{space 2} 5.734415{col 32}{space 2} 6.921223{col 43}{space 1}    0.83{col 52}{space 3}0.418{col 60}{space 4}-8.751871{col 73}{space 3}  20.2207
{txt}{space 13}1880  {c |}{col 20}{res}{space 2}-.4789302{col 32}{space 2} 7.007741{col 43}{space 1}   -0.07{col 52}{space 3}0.946{col 60}{space 4} -15.1463{col 73}{space 3} 14.18844
{txt}{space 13}1881  {c |}{col 20}{res}{space 2} 2.016964{col 32}{space 2} 6.275928{col 43}{space 1}    0.32{col 52}{space 3}0.751{col 60}{space 4} -11.1187{col 73}{space 3} 15.15263
{txt}{space 13}1882  {c |}{col 20}{res}{space 2} 3.073902{col 32}{space 2} 7.609297{col 43}{space 1}    0.40{col 52}{space 3}0.691{col 60}{space 4}-12.85254{col 73}{space 3} 19.00034
{txt}{space 13}1883  {c |}{col 20}{res}{space 2} .8618056{col 32}{space 2} 6.965122{col 43}{space 1}    0.12{col 52}{space 3}0.903{col 60}{space 4}-13.71636{col 73}{space 3} 15.43997
{txt}{space 18} {c |}
{space 9}state_num {c |}
{space 16}3  {c |}{col 20}{res}{space 2} 1.350796{col 32}{space 2} 5.007928{col 43}{space 1}    0.27{col 52}{space 3}0.790{col 60}{space 4}-9.130918{col 73}{space 3} 11.83251
{txt}{space 16}9  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}10  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}11  {c |}{col 20}{res}{space 2} 12.40725{col 32}{space 2} 17.81463{col 43}{space 1}    0.70{col 52}{space 3}0.495{col 60}{space 4}-24.87921{col 73}{space 3}  49.6937
{txt}{space 15}12  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}18  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}20  {c |}{col 20}{res}{space 2}-1.051675{col 32}{space 2}  9.04327{col 43}{space 1}   -0.12{col 52}{space 3}0.909{col 60}{space 4}-19.97946{col 73}{space 3} 17.87611
{txt}{space 15}21  {c |}{col 20}{res}{space 2}-53.14946{col 32}{space 2} 5.034004{col 43}{space 1}  -10.56{col 52}{space 3}0.000{col 60}{space 4}-63.68576{col 73}{space 3}-42.61317
{txt}{space 15}25  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}26  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}29  {c |}{col 20}{res}{space 2} .9879245{col 32}{space 2} 9.845042{col 43}{space 1}    0.10{col 52}{space 3}0.921{col 60}{space 4}-19.61799{col 73}{space 3} 21.59383
{txt}{space 15}33  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}34  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}40  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}42  {c |}{col 20}{res}{space 2} 11.06215{col 32}{space 2} 4.760263{col 43}{space 1}    2.32{col 52}{space 3}0.031{col 60}{space 4} 1.098802{col 73}{space 3} 21.02549
{txt}{space 15}48  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}49  {c |}{col 20}{res}{space 2}-61.64833{col 32}{space 2} 5.671207{col 43}{space 1}  -10.87{col 52}{space 3}0.000{col 60}{space 4} -73.5183{col 73}{space 3}-49.77836
{txt}{space 15}53  {c |}{col 20}{res}{space 2} 15.76981{col 32}{space 2} 6.376726{col 43}{space 1}    2.47{col 52}{space 3}0.023{col 60}{space 4}  2.42317{col 73}{space 3} 29.11645
{txt}{space 15}62  {c |}{col 20}{res}{space 2} 12.54468{col 32}{space 2} 7.893662{col 43}{space 1}    1.59{col 52}{space 3}0.129{col 60}{space 4}-3.976944{col 73}{space 3} 29.06631
{txt}{space 15}65  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}70  {c |}{col 20}{res}{space 2} 1.943823{col 32}{space 2} 11.79485{col 43}{space 1}    0.16{col 52}{space 3}0.871{col 60}{space 4}-22.74308{col 73}{space 3} 26.63072
{txt}{space 18} {c |}
{space 8}agetrimmed {c |}{col 20}{res}{space 2}-.2376916{col 32}{space 2} .2665057{col 43}{space 1}   -0.89{col 52}{space 3}0.384{col 60}{space 4}-.7954945{col 73}{space 3} .3201113
{txt}{space 5}heighttrimmed {c |}{col 20}{res}{space 2}-.4776194{col 32}{space 2} 2.094864{col 43}{space 1}   -0.23{col 52}{space 3}0.822{col 60}{space 4}-4.862221{col 73}{space 3} 3.906982
{txt}{space 6}percentblack {c |}{col 20}{res}{space 2} .0699271{col 32}{space 2} 35.86703{col 43}{space 1}    0.00{col 52}{space 3}0.998{col 60}{space 4}-75.00063{col 73}{space 3} 75.14048
{txt}{space 7}manufoutput {c |}{col 20}{res}{space 2} .0071974{col 32}{space 2} .0400243{col 43}{space 1}    0.18{col 52}{space 3}0.859{col 60}{space 4}-.0765745{col 73}{space 3} .0909694
{txt}{space 13}urban {c |}{col 20}{res}{space 2}-1.943539{col 32}{space 2} 15.09834{col 43}{space 1}   -0.13{col 52}{space 3}0.899{col 60}{space 4}-33.54474{col 73}{space 3} 29.65766
{txt}{space 4}proportionfarm {c |}{col 20}{res}{space 2} 7.860372{col 32}{space 2} 9.028238{col 43}{space 1}    0.87{col 52}{space 3}0.395{col 60}{space 4}-11.03595{col 73}{space 3} 26.75669
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 191.2892{col 32}{space 2} 144.0391{col 43}{space 1}    1.33{col 52}{space 3}0.200{col 60}{space 4}-110.1882{col 73}{space 3} 492.7666
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. eststo m5: areg weighttrimmed badstate_post_1880 i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct==1 & examdate>18751015 & examdate<18831015 & sameborder1879==1 & distancemean7583<200, cluster(distancemean_7583_20) absorb(recid)
{txt}note: 9.state_num omitted because of collinearity
{txt}note: 10.state_num omitted because of collinearity
{txt}note: 12.state_num omitted because of collinearity
{txt}note: 18.state_num omitted because of collinearity
{txt}note: 25.state_num omitted because of collinearity
{txt}note: 26.state_num omitted because of collinearity
{txt}note: 34.state_num omitted because of collinearity
{txt}note: 40.state_num omitted because of collinearity
{txt}note: 48.state_num omitted because of collinearity
{txt}note: 62.state_num omitted because of collinearity
{txt}note: 65.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     1,040
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}       704
{txt}{col 49}{help j_robustsingular##|_new:F(  17,     19)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.9333
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7771
{txt}{col 49}Root MSE{col 67}= {res}    8.9679

{txt}{ralign 84:(Std. Err. adjusted for {res:20} clusters in distancemean_7583_20)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     weighttrimmed{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post_1880 {c |}{col 20}{res}{space 2}-.8694382{col 32}{space 2} 3.065411{col 43}{space 1}   -0.28{col 52}{space 3}0.780{col 60}{space 4}-7.285417{col 73}{space 3} 5.546541
{txt}{space 18} {c |}
{space 14}year {c |}
{space 13}1876  {c |}{col 20}{res}{space 2} 3.530073{col 32}{space 2} 6.463511{col 43}{space 1}    0.55{col 52}{space 3}0.591{col 60}{space 4} -9.99821{col 73}{space 3} 17.05836
{txt}{space 13}1877  {c |}{col 20}{res}{space 2} 4.610703{col 32}{space 2}  5.44427{col 43}{space 1}    0.85{col 52}{space 3}0.408{col 60}{space 4}-6.784286{col 73}{space 3} 16.00569
{txt}{space 13}1878  {c |}{col 20}{res}{space 2} 5.391332{col 32}{space 2} 5.716434{col 43}{space 1}    0.94{col 52}{space 3}0.357{col 60}{space 4}-6.573301{col 73}{space 3} 17.35597
{txt}{space 13}1879  {c |}{col 20}{res}{space 2} 6.342918{col 32}{space 2} 7.150038{col 43}{space 1}    0.89{col 52}{space 3}0.386{col 60}{space 4}-8.622284{col 73}{space 3} 21.30812
{txt}{space 13}1880  {c |}{col 20}{res}{space 2} .6765086{col 32}{space 2} 7.055349{col 43}{space 1}    0.10{col 52}{space 3}0.925{col 60}{space 4}-14.09051{col 73}{space 3} 15.44352
{txt}{space 13}1881  {c |}{col 20}{res}{space 2} 3.251467{col 32}{space 2} 7.036528{col 43}{space 1}    0.46{col 52}{space 3}0.649{col 60}{space 4}-11.47616{col 73}{space 3} 17.97909
{txt}{space 13}1882  {c |}{col 20}{res}{space 2} 4.308702{col 32}{space 2} 8.583471{col 43}{space 1}    0.50{col 52}{space 3}0.621{col 60}{space 4}-13.65671{col 73}{space 3} 22.27411
{txt}{space 13}1883  {c |}{col 20}{res}{space 2} 2.132174{col 32}{space 2} 7.716257{col 43}{space 1}    0.28{col 52}{space 3}0.785{col 60}{space 4}-14.01814{col 73}{space 3} 18.28249
{txt}{space 18} {c |}
{space 9}state_num {c |}
{space 16}3  {c |}{col 20}{res}{space 2}-11.48172{col 32}{space 2} 8.663898{col 43}{space 1}   -1.33{col 52}{space 3}0.201{col 60}{space 4}-29.61547{col 73}{space 3} 6.652025
{txt}{space 16}9  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}10  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}11  {c |}{col 20}{res}{space 2} 12.82272{col 32}{space 2} 17.13514{col 43}{space 1}    0.75{col 52}{space 3}0.463{col 60}{space 4}-23.04153{col 73}{space 3} 48.68698
{txt}{space 15}12  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}18  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}20  {c |}{col 20}{res}{space 2}-.4725007{col 32}{space 2} 8.633533{col 43}{space 1}   -0.05{col 52}{space 3}0.957{col 60}{space 4}-18.54269{col 73}{space 3} 17.59769
{txt}{space 15}21  {c |}{col 20}{res}{space 2}-52.78809{col 32}{space 2} 5.210075{col 43}{space 1}  -10.13{col 52}{space 3}0.000{col 60}{space 4} -63.6929{col 73}{space 3}-41.88328
{txt}{space 15}25  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}26  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}29  {c |}{col 20}{res}{space 2} 1.138003{col 32}{space 2} 9.397483{col 43}{space 1}    0.12{col 52}{space 3}0.905{col 60}{space 4}-18.53115{col 73}{space 3} 20.80716
{txt}{space 15}33  {c |}{col 20}{res}{space 2}-10.03955{col 32}{space 2} 6.494329{col 43}{space 1}   -1.55{col 52}{space 3}0.139{col 60}{space 4}-23.63234{col 73}{space 3} 3.553234
{txt}{space 15}34  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}40  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}42  {c |}{col 20}{res}{space 2} 11.18838{col 32}{space 2} 4.771618{col 43}{space 1}    2.34{col 52}{space 3}0.030{col 60}{space 4} 1.201272{col 73}{space 3}  21.1755
{txt}{space 15}48  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}49  {c |}{col 20}{res}{space 2}-61.29297{col 32}{space 2} 5.451582{col 43}{space 1}  -11.24{col 52}{space 3}0.000{col 60}{space 4}-72.70327{col 73}{space 3}-49.88268
{txt}{space 15}53  {c |}{col 20}{res}{space 2} 16.09234{col 32}{space 2} 6.273178{col 43}{space 1}    2.57{col 52}{space 3}0.019{col 60}{space 4}  2.96243{col 73}{space 3} 29.22225
{txt}{space 15}62  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}65  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}70  {c |}{col 20}{res}{space 2} 3.228794{col 32}{space 2} 11.15367{col 43}{space 1}    0.29{col 52}{space 3}0.775{col 60}{space 4}-20.11611{col 73}{space 3}  26.5737
{txt}{space 18} {c |}
{space 8}agetrimmed {c |}{col 20}{res}{space 2} -.227293{col 32}{space 2} .2582461{col 43}{space 1}   -0.88{col 52}{space 3}0.390{col 60}{space 4}-.7678083{col 73}{space 3} .3132223
{txt}{space 5}heighttrimmed {c |}{col 20}{res}{space 2}-.4858683{col 32}{space 2} 2.120772{col 43}{space 1}   -0.23{col 52}{space 3}0.821{col 60}{space 4}-4.924696{col 73}{space 3} 3.952959
{txt}{space 6}percentblack {c |}{col 20}{res}{space 2} .0432914{col 32}{space 2} 35.00735{col 43}{space 1}    0.00{col 52}{space 3}0.999{col 60}{space 4}-73.22794{col 73}{space 3} 73.31452
{txt}{space 7}manufoutput {c |}{col 20}{res}{space 2} .0064537{col 32}{space 2} .0396029{col 43}{space 1}    0.16{col 52}{space 3}0.872{col 60}{space 4}-.0764361{col 73}{space 3} .0893436
{txt}{space 13}urban {c |}{col 20}{res}{space 2}-2.355321{col 32}{space 2} 14.84244{col 43}{space 1}   -0.16{col 52}{space 3}0.876{col 60}{space 4}-33.42091{col 73}{space 3} 28.71027
{txt}{space 4}proportionfarm {c |}{col 20}{res}{space 2} 7.324903{col 32}{space 2} 8.727843{col 43}{space 1}    0.84{col 52}{space 3}0.412{col 60}{space 4}-10.94268{col 73}{space 3} 25.59249
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 192.5428{col 32}{space 2}  146.054{col 43}{space 1}    1.32{col 52}{space 3}0.203{col 60}{space 4}-113.1517{col 73}{space 3} 498.2374
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. eststo m6: areg weighttrimmed badstate_post_1881 i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct==1 & examdate>18751015 & examdate<18831015 & sameborder1879==1 & distancemean7583<200, cluster(distancemean_7583_20) absorb(recid)
{txt}note: 9.state_num omitted because of collinearity
{txt}note: 10.state_num omitted because of collinearity
{txt}note: 12.state_num omitted because of collinearity
{txt}note: 18.state_num omitted because of collinearity
{txt}note: 20.state_num omitted because of collinearity
{txt}note: 26.state_num omitted because of collinearity
{txt}note: 33.state_num omitted because of collinearity
{txt}note: 34.state_num omitted because of collinearity
{txt}note: 40.state_num omitted because of collinearity
{txt}note: 48.state_num omitted because of collinearity
{txt}note: 65.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     1,040
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}       704
{txt}{col 49}{help j_robustsingular##|_new:F(  17,     19)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.9333
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7773
{txt}{col 49}Root MSE{col 67}= {res}    8.9643

{txt}{ralign 84:(Std. Err. adjusted for {res:20} clusters in distancemean_7583_20)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     weighttrimmed{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post_1881 {c |}{col 20}{res}{space 2} -1.42881{col 32}{space 2} 2.981978{col 43}{space 1}   -0.48{col 52}{space 3}0.637{col 60}{space 4}-7.670162{col 73}{space 3} 4.812543
{txt}{space 18} {c |}
{space 14}year {c |}
{space 13}1876  {c |}{col 20}{res}{space 2} 3.713358{col 32}{space 2} 6.598535{col 43}{space 1}    0.56{col 52}{space 3}0.580{col 60}{space 4}-10.09753{col 73}{space 3} 17.52425
{txt}{space 13}1877  {c |}{col 20}{res}{space 2} 4.767681{col 32}{space 2} 5.524171{col 43}{space 1}    0.86{col 52}{space 3}0.399{col 60}{space 4}-6.794541{col 73}{space 3}  16.3299
{txt}{space 13}1878  {c |}{col 20}{res}{space 2}  5.55481{col 32}{space 2} 5.826161{col 43}{space 1}    0.95{col 52}{space 3}0.352{col 60}{space 4}-6.639486{col 73}{space 3} 17.74911
{txt}{space 13}1879  {c |}{col 20}{res}{space 2} 6.552284{col 32}{space 2} 7.323886{col 43}{space 1}    0.89{col 52}{space 3}0.382{col 60}{space 4}-8.776785{col 73}{space 3} 21.88135
{txt}{space 13}1880  {c |}{col 20}{res}{space 2} .8314475{col 32}{space 2} 7.170956{col 43}{space 1}    0.12{col 52}{space 3}0.909{col 60}{space 4}-14.17754{col 73}{space 3} 15.84043
{txt}{space 13}1881  {c |}{col 20}{res}{space 2} 3.260945{col 32}{space 2} 6.707789{col 43}{space 1}    0.49{col 52}{space 3}0.632{col 60}{space 4}-10.77862{col 73}{space 3} 17.30051
{txt}{space 13}1882  {c |}{col 20}{res}{space 2} 4.649357{col 32}{space 2} 8.853491{col 43}{space 1}    0.53{col 52}{space 3}0.606{col 60}{space 4}-13.88121{col 73}{space 3} 23.17993
{txt}{space 13}1883  {c |}{col 20}{res}{space 2} 2.384464{col 32}{space 2} 7.909362{col 43}{space 1}    0.30{col 52}{space 3}0.766{col 60}{space 4}-14.17002{col 73}{space 3} 18.93895
{txt}{space 18} {c |}
{space 9}state_num {c |}
{space 16}3  {c |}{col 20}{res}{space 2}  -.59564{col 32}{space 2} 3.837912{col 43}{space 1}   -0.16{col 52}{space 3}0.878{col 60}{space 4}-8.628482{col 73}{space 3} 7.437202
{txt}{space 16}9  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}10  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}11  {c |}{col 20}{res}{space 2}  13.5914{col 32}{space 2} 17.43365{col 43}{space 1}    0.78{col 52}{space 3}0.445{col 60}{space 4}-22.89764{col 73}{space 3} 50.08044
{txt}{space 15}12  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}18  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}20  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}21  {c |}{col 20}{res}{space 2}-52.58558{col 32}{space 2} 5.290551{col 43}{space 1}   -9.94{col 52}{space 3}0.000{col 60}{space 4}-63.65883{col 73}{space 3}-41.51234
{txt}{space 15}25  {c |}{col 20}{res}{space 2} .6670408{col 32}{space 2} 8.736985{col 43}{space 1}    0.08{col 52}{space 3}0.940{col 60}{space 4}-17.61968{col 73}{space 3} 18.95376
{txt}{space 15}26  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}29  {c |}{col 20}{res}{space 2}  1.30067{col 32}{space 2} 9.492052{col 43}{space 1}    0.14{col 52}{space 3}0.892{col 60}{space 4}-18.56642{col 73}{space 3} 21.16776
{txt}{space 15}33  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}34  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}40  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}42  {c |}{col 20}{res}{space 2}  11.2527{col 32}{space 2} 4.777326{col 43}{space 1}    2.36{col 52}{space 3}0.029{col 60}{space 4} 1.253648{col 73}{space 3} 21.25176
{txt}{space 15}48  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}49  {c |}{col 20}{res}{space 2}-61.17529{col 32}{space 2} 5.531103{col 43}{space 1}  -11.06{col 52}{space 3}0.000{col 60}{space 4}-72.75202{col 73}{space 3}-49.59856
{txt}{space 15}53  {c |}{col 20}{res}{space 2} 16.21054{col 32}{space 2} 6.428545{col 43}{space 1}    2.52{col 52}{space 3}0.021{col 60}{space 4} 2.755436{col 73}{space 3} 29.66564
{txt}{space 15}62  {c |}{col 20}{res}{space 2}  11.6872{col 32}{space 2} 7.623597{col 43}{space 1}    1.53{col 52}{space 3}0.142{col 60}{space 4}-4.269176{col 73}{space 3} 27.64357
{txt}{space 15}65  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}70  {c |}{col 20}{res}{space 2} 3.665806{col 32}{space 2} 10.81848{col 43}{space 1}    0.34{col 52}{space 3}0.738{col 60}{space 4}-18.97754{col 73}{space 3} 26.30915
{txt}{space 18} {c |}
{space 8}agetrimmed {c |}{col 20}{res}{space 2}-.2230261{col 32}{space 2} .2559391{col 43}{space 1}   -0.87{col 52}{space 3}0.394{col 60}{space 4}-.7587128{col 73}{space 3} .3126605
{txt}{space 5}heighttrimmed {c |}{col 20}{res}{space 2}-.4988359{col 32}{space 2} 2.133861{col 43}{space 1}   -0.23{col 52}{space 3}0.818{col 60}{space 4}-4.965058{col 73}{space 3} 3.967387
{txt}{space 6}percentblack {c |}{col 20}{res}{space 2}-1.905336{col 32}{space 2} 34.65108{col 43}{space 1}   -0.05{col 52}{space 3}0.957{col 60}{space 4}-74.43089{col 73}{space 3} 70.62021
{txt}{space 7}manufoutput {c |}{col 20}{res}{space 2} .0059709{col 32}{space 2} .0395936{col 43}{space 1}    0.15{col 52}{space 3}0.882{col 60}{space 4}-.0768994{col 73}{space 3} .0888412
{txt}{space 13}urban {c |}{col 20}{res}{space 2}-2.241498{col 32}{space 2} 14.81272{col 43}{space 1}   -0.15{col 52}{space 3}0.881{col 60}{space 4}-33.24487{col 73}{space 3} 28.76188
{txt}{space 4}proportionfarm {c |}{col 20}{res}{space 2} 7.343361{col 32}{space 2} 8.593767{col 43}{space 1}    0.85{col 52}{space 3}0.403{col 60}{space 4} -10.6436{col 73}{space 3} 25.33032
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 192.1854{col 32}{space 2} 145.9017{col 43}{space 1}    1.32{col 52}{space 3}0.203{col 60}{space 4}-113.1903{col 73}{space 3} 497.5611
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. eststo m7: areg weighttrimmed badstate_post_1882 i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct==1 & examdate>18751015 & examdate<18831015 & sameborder1879==1 & distancemean7583<200, cluster(distancemean_7583_20) absorb(recid)
{txt}note: 9.state_num omitted because of collinearity
{txt}note: 10.state_num omitted because of collinearity
{txt}note: 12.state_num omitted because of collinearity
{txt}note: 18.state_num omitted because of collinearity
{txt}note: 25.state_num omitted because of collinearity
{txt}note: 26.state_num omitted because of collinearity
{txt}note: 34.state_num omitted because of collinearity
{txt}note: 40.state_num omitted because of collinearity
{txt}note: 48.state_num omitted because of collinearity
{txt}note: 62.state_num omitted because of collinearity
{txt}note: 65.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     1,040
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}       704
{txt}{col 49}{help j_robustsingular##|_new:F(  17,     19)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.9333
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7772
{txt}{col 49}Root MSE{col 67}= {res}    8.9650

{txt}{ralign 84:(Std. Err. adjusted for {res:20} clusters in distancemean_7583_20)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}     weighttrimmed{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      t{col 52}   P>|t|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
badstate_post_1882 {c |}{col 20}{res}{space 2}-1.658719{col 32}{space 2}  3.97817{col 43}{space 1}   -0.42{col 52}{space 3}0.681{col 60}{space 4}-9.985125{col 73}{space 3} 6.667686
{txt}{space 18} {c |}
{space 14}year {c |}
{space 13}1876  {c |}{col 20}{res}{space 2} 3.375185{col 32}{space 2} 6.243107{col 43}{space 1}    0.54{col 52}{space 3}0.595{col 60}{space 4}-9.691787{col 73}{space 3} 16.44216
{txt}{space 13}1877  {c |}{col 20}{res}{space 2} 4.479337{col 32}{space 2} 5.266906{col 43}{space 1}    0.85{col 52}{space 3}0.406{col 60}{space 4}-6.544424{col 73}{space 3}  15.5031
{txt}{space 13}1878  {c |}{col 20}{res}{space 2} 5.258758{col 32}{space 2}   5.5645{col 43}{space 1}    0.95{col 52}{space 3}0.356{col 60}{space 4}-6.387874{col 73}{space 3} 16.90539
{txt}{space 13}1879  {c |}{col 20}{res}{space 2} 6.208383{col 32}{space 2} 6.911353{col 43}{space 1}    0.90{col 52}{space 3}0.380{col 60}{space 4}-8.257245{col 73}{space 3} 20.67401
{txt}{space 13}1880  {c |}{col 20}{res}{space 2} .5580558{col 32}{space 2} 6.903418{col 43}{space 1}    0.08{col 52}{space 3}0.936{col 60}{space 4}-13.89096{col 73}{space 3} 15.00708
{txt}{space 13}1881  {c |}{col 20}{res}{space 2} 2.902324{col 32}{space 2} 6.291933{col 43}{space 1}    0.46{col 52}{space 3}0.650{col 60}{space 4}-10.26684{col 73}{space 3} 16.07149
{txt}{space 13}1882  {c |}{col 20}{res}{space 2} 4.038368{col 32}{space 2} 7.843817{col 43}{space 1}    0.51{col 52}{space 3}0.613{col 60}{space 4}-12.37893{col 73}{space 3} 20.45566
{txt}{space 13}1883  {c |}{col 20}{res}{space 2} 2.104689{col 32}{space 2}  7.29932{col 43}{space 1}    0.29{col 52}{space 3}0.776{col 60}{space 4}-13.17296{col 73}{space 3} 17.38234
{txt}{space 18} {c |}
{space 9}state_num {c |}
{space 16}3  {c |}{col 20}{res}{space 2}-12.95211{col 32}{space 2} 10.06762{col 43}{space 1}   -1.29{col 52}{space 3}0.214{col 60}{space 4}-34.02389{col 73}{space 3} 8.119661
{txt}{space 16}9  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}10  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}11  {c |}{col 20}{res}{space 2} 13.00115{col 32}{space 2} 17.64851{col 43}{space 1}    0.74{col 52}{space 3}0.470{col 60}{space 4} -23.9376{col 73}{space 3}  49.9399
{txt}{space 15}12  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}18  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}20  {c |}{col 20}{res}{space 2}-.7461539{col 32}{space 2} 8.723799{col 43}{space 1}   -0.09{col 52}{space 3}0.933{col 60}{space 4}-19.00527{col 73}{space 3} 17.51297
{txt}{space 15}21  {c |}{col 20}{res}{space 2}-52.55076{col 32}{space 2} 5.035552{col 43}{space 1}  -10.44{col 52}{space 3}0.000{col 60}{space 4}-63.09029{col 73}{space 3}-42.01123
{txt}{space 15}25  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}26  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}29  {c |}{col 20}{res}{space 2} .8226408{col 32}{space 2} 10.11794{col 43}{space 1}    0.08{col 52}{space 3}0.936{col 60}{space 4}-20.35444{col 73}{space 3} 21.99973
{txt}{space 15}33  {c |}{col 20}{res}{space 2}-12.09565{col 32}{space 2} 7.910615{col 43}{space 1}   -1.53{col 52}{space 3}0.143{col 60}{space 4}-28.65276{col 73}{space 3} 4.461459
{txt}{space 15}34  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}40  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}42  {c |}{col 20}{res}{space 2} 11.20596{col 32}{space 2} 4.818229{col 43}{space 1}    2.33{col 52}{space 3}0.031{col 60}{space 4} 1.121287{col 73}{space 3} 21.29063
{txt}{space 15}48  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}49  {c |}{col 20}{res}{space 2}-61.13794{col 32}{space 2} 5.553543{col 43}{space 1}  -11.01{col 52}{space 3}0.000{col 60}{space 4}-72.76164{col 73}{space 3}-49.51424
{txt}{space 15}53  {c |}{col 20}{res}{space 2} 16.19287{col 32}{space 2} 6.439805{col 43}{space 1}    2.51{col 52}{space 3}0.021{col 60}{space 4} 2.714207{col 73}{space 3} 29.67154
{txt}{space 15}62  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}65  {c |}{col 20}{res}{space 2}        0{col 32}{txt}  (omitted)
{space 15}70  {c |}{col 20}{res}{space 2} 2.405782{col 32}{space 2} 11.71834{col 43}{space 1}    0.21{col 52}{space 3}0.840{col 60}{space 4}-22.12099{col 73}{space 3} 26.93256
{txt}{space 18} {c |}
{space 8}agetrimmed {c |}{col 20}{res}{space 2}-.2227166{col 32}{space 2} .2659527{col 43}{space 1}   -0.84{col 52}{space 3}0.413{col 60}{space 4}-.7793621{col 73}{space 3} .3339289
{txt}{space 5}heighttrimmed {c |}{col 20}{res}{space 2}-.4903764{col 32}{space 2}   2.1077{col 43}{space 1}   -0.23{col 52}{space 3}0.819{col 60}{space 4}-4.901843{col 73}{space 3}  3.92109
{txt}{space 6}percentblack {c |}{col 20}{res}{space 2} .1809239{col 32}{space 2} 35.32097{col 43}{space 1}    0.01{col 52}{space 3}0.996{col 60}{space 4}-73.74672{col 73}{space 3} 74.10857
{txt}{space 7}manufoutput {c |}{col 20}{res}{space 2} .0064541{col 32}{space 2}  .039431{col 43}{space 1}    0.16{col 52}{space 3}0.872{col 60}{space 4} -.076076{col 73}{space 3} .0889842
{txt}{space 13}urban {c |}{col 20}{res}{space 2}-2.393159{col 32}{space 2} 14.80852{col 43}{space 1}   -0.16{col 52}{space 3}0.873{col 60}{space 4}-33.38776{col 73}{space 3} 28.60144
{txt}{space 4}proportionfarm {c |}{col 20}{res}{space 2} 7.056606{col 32}{space 2} 9.158284{col 43}{space 1}    0.77{col 52}{space 3}0.450{col 60}{space 4} -12.1119{col 73}{space 3} 26.22511
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} 193.0764{col 32}{space 2} 145.3698{col 43}{space 1}    1.33{col 52}{space 3}0.200{col 60}{space 4}-111.1861{col 73}{space 3} 497.3389
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. estout m1 m2 m3 m4 m5 m6 m7 using Table17.tex, replace style(tex) collabels(none) mlabels("Model 1" "Model 2" "Model 3" "Model 4" "Model 5" "Model 6" "Model 7", span prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) prehead("\begin{c -(}table{c )-}[htbp!]\caption{c -(}@title{c )-}" "\begin{c -(}center{c )-}" "\scriptsize" "\begin{c -(}threeparttable{c )-}"  "\begin{c -(}tabular{c )-}{c -(}l*{c -(}@M{c )-}{c -(}rr{c )-}{c )-}" "\hline")  cells(  b(star fmt(2)) se(par fmt(2)) ) starlevels(* .10 ** .05 *** .01)   s( N )  
{res}{txt}(note: file Table17.tex not found)
(output written to {browse  `"Table17.tex"'})

{com}. 
. *Table 18
. 
. eststo m1: reg abnormalresp_rat badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct_rd_sample_mean==1 , vce(cluster distancemean_7987_20) 

{txt}Linear regression                               Number of obs     = {res}     1,138
                                                {txt}{help j_robustsingular:F(44, 50) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0837
                                                {txt}Root MSE          =    {res} .21531

{txt}{ralign 80:(Std. Err. adjusted for {res:51} clusters in distancemean_7987_20)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}abnormalresp~t{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}badstate_post {c |}{col 16}{res}{space 2} .0251467{col 28}{space 2} .0233439{col 39}{space 1}    1.08{col 48}{space 3}0.287{col 56}{space 4}-.0217409{col 69}{space 3} .0720343
{txt}{space 14} {c |}
{space 10}year {c |}
{space 9}1880  {c |}{col 16}{res}{space 2} .0134628{col 28}{space 2} .0223822{col 39}{space 1}    0.60{col 48}{space 3}0.550{col 56}{space 4}-.0314932{col 69}{space 3} .0584189
{txt}{space 9}1881  {c |}{col 16}{res}{space 2} .0461135{col 28}{space 2} .0243509{col 39}{space 1}    1.89{col 48}{space 3}0.064{col 56}{space 4}-.0027967{col 69}{space 3} .0950238
{txt}{space 9}1882  {c |}{col 16}{res}{space 2} .0316417{col 28}{space 2} .0297169{col 39}{space 1}    1.06{col 48}{space 3}0.292{col 56}{space 4}-.0280465{col 69}{space 3}   .09133
{txt}{space 9}1883  {c |}{col 16}{res}{space 2} .0271411{col 28}{space 2} .0254336{col 39}{space 1}    1.07{col 48}{space 3}0.291{col 56}{space 4}-.0239438{col 69}{space 3}  .078226
{txt}{space 9}1884  {c |}{col 16}{res}{space 2} .0405402{col 28}{space 2}  .040056{col 39}{space 1}    1.01{col 48}{space 3}0.316{col 56}{space 4}-.0399147{col 69}{space 3} .1209951
{txt}{space 9}1885  {c |}{col 16}{res}{space 2} .0823398{col 28}{space 2} .0393745{col 39}{space 1}    2.09{col 48}{space 3}0.042{col 56}{space 4} .0032538{col 69}{space 3} .1614259
{txt}{space 9}1886  {c |}{col 16}{res}{space 2} .0682129{col 28}{space 2} .0248457{col 39}{space 1}    2.75{col 48}{space 3}0.008{col 56}{space 4} .0183088{col 69}{space 3}  .118117
{txt}{space 9}1887  {c |}{col 16}{res}{space 2} .0626984{col 28}{space 2} .0256095{col 39}{space 1}    2.45{col 48}{space 3}0.018{col 56}{space 4} .0112602{col 69}{space 3} .1141366
{txt}{space 14} {c |}
{space 5}state_num {c |}
{space 12}3  {c |}{col 16}{res}{space 2} .0921059{col 28}{space 2} .0325342{col 39}{space 1}    2.83{col 48}{space 3}0.007{col 56}{space 4} .0267591{col 69}{space 3} .1574527
{txt}{space 12}9  {c |}{col 16}{res}{space 2}-.0283888{col 28}{space 2} .0845927{col 39}{space 1}   -0.34{col 48}{space 3}0.739{col 56}{space 4}-.1982983{col 69}{space 3} .1415207
{txt}{space 11}10  {c |}{col 16}{res}{space 2}-.0903873{col 28}{space 2} .0331604{col 39}{space 1}   -2.73{col 48}{space 3}0.009{col 56}{space 4}-.1569919{col 69}{space 3}-.0237828
{txt}{space 11}11  {c |}{col 16}{res}{space 2} .0494288{col 28}{space 2} .0339066{col 39}{space 1}    1.46{col 48}{space 3}0.151{col 56}{space 4}-.0186747{col 69}{space 3} .1175322
{txt}{space 11}12  {c |}{col 16}{res}{space 2} .0388912{col 28}{space 2} .0596046{col 39}{space 1}    0.65{col 48}{space 3}0.517{col 56}{space 4}-.0808281{col 69}{space 3} .1586105
{txt}{space 11}14  {c |}{col 16}{res}{space 2} .0865907{col 28}{space 2}  .035014{col 39}{space 1}    2.47{col 48}{space 3}0.017{col 56}{space 4} .0162631{col 69}{space 3} .1569184
{txt}{space 11}18  {c |}{col 16}{res}{space 2} -.068311{col 28}{space 2}  .033176{col 39}{space 1}   -2.06{col 48}{space 3}0.045{col 56}{space 4}-.1349471{col 69}{space 3} -.001675
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{txt}proportionfarm {c |}{col 16}{res}{space 2} .0302898{col 28}{space 2} .0795603{col 39}{space 1}    0.38{col 48}{space 3}0.705{col 56}{space 4}-.1295117{col 69}{space 3} .1900913
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{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m2: reg hernia_rat badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct_rd_sample_mean==1 , vce(cluster distancemean_7987_20) 

{txt}Linear regression                               Number of obs     = {res}     1,138
                                                {txt}{help j_robustsingular:F(44, 50) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0750
                                                {txt}Root MSE          =    {res} .21276

{txt}{ralign 80:(Std. Err. adjusted for {res:51} clusters in distancemean_7987_20)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}    hernia_rat{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}badstate_post {c |}{col 16}{res}{space 2}  .026677{col 28}{space 2} .0250886{col 39}{space 1}    1.06{col 48}{space 3}0.293{col 56}{space 4}-.0237148{col 69}{space 3} .0770689
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{space 10}year {c |}
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{space 5}state_num {c |}
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{txt}{space 11}70  {c |}{col 16}{res}{space 2} .4038329{col 28}{space 2}  .062067{col 39}{space 1}    6.51{col 48}{space 3}0.000{col 56}{space 4} .2791676{col 69}{space 3} .5284981
{txt}{space 14} {c |}
{space 4}agetrimmed {c |}{col 16}{res}{space 2} .0006564{col 28}{space 2} .0006325{col 39}{space 1}    1.04{col 48}{space 3}0.304{col 56}{space 4}-.0006139{col 69}{space 3} .0019268
{txt}{space 1}heighttrimmed {c |}{col 16}{res}{space 2} .0023599{col 28}{space 2} .0036764{col 39}{space 1}    0.64{col 48}{space 3}0.524{col 56}{space 4}-.0050243{col 69}{space 3}  .009744
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{txt}{space 3}manufoutput {c |}{col 16}{res}{space 2}-.0002431{col 28}{space 2} .0002519{col 39}{space 1}   -0.97{col 48}{space 3}0.339{col 56}{space 4}-.0007491{col 69}{space 3} .0002628
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{txt}proportionfarm {c |}{col 16}{res}{space 2} .1035646{col 28}{space 2} .0501574{col 39}{space 1}    2.06{col 48}{space 3}0.044{col 56}{space 4} .0028205{col 69}{space 3} .2043087
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-.2537408{col 28}{space 2} .2711242{col 39}{space 1}   -0.94{col 48}{space 3}0.354{col 56}{space 4}-.7983098{col 69}{space 3} .2908283
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m3: reg tumor_rat badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct_rd_sample_mean==1 , vce(cluster distancemean_7987_20) 

{txt}Linear regression                               Number of obs     = {res}     1,138
                                                {txt}{help j_robustsingular:F(44, 50) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0338
                                                {txt}Root MSE          =    {res} .05155

{txt}{ralign 80:(Std. Err. adjusted for {res:51} clusters in distancemean_7987_20)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}     tumor_rat{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}badstate_post {c |}{col 16}{res}{space 2}-.0019163{col 28}{space 2} .0022859{col 39}{space 1}   -0.84{col 48}{space 3}0.406{col 56}{space 4}-.0065076{col 69}{space 3}  .002675
{txt}{space 14} {c |}
{space 10}year {c |}
{space 9}1880  {c |}{col 16}{res}{space 2} .0008675{col 28}{space 2} .0066098{col 39}{space 1}    0.13{col 48}{space 3}0.896{col 56}{space 4}-.0124087{col 69}{space 3} .0141437
{txt}{space 9}1881  {c |}{col 16}{res}{space 2} .0019418{col 28}{space 2} .0064844{col 39}{space 1}    0.30{col 48}{space 3}0.766{col 56}{space 4}-.0110825{col 69}{space 3} .0149662
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{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m4: reg musculoskeletal_rat badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct_rd_sample_mean==1 , vce(cluster distancemean_7987_20) 

{txt}Linear regression                               Number of obs     = {res}     1,138
                                                {txt}{help j_robustsingular:F(44, 50) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1360
                                                {txt}Root MSE          =    {res} .33639

{txt}{ralign 80:(Std. Err. adjusted for {res:51} clusters in distancemean_7987_20)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}musculoskele~t{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
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{space 10}year {c |}
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{txt}proportionfarm {c |}{col 16}{res}{space 2} -.100071{col 28}{space 2} .0841136{col 39}{space 1}   -1.19{col 48}{space 3}0.240{col 56}{space 4}-.2690181{col 69}{space 3} .0688761
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} .1363677{col 28}{space 2} .3478634{col 39}{space 1}    0.39{col 48}{space 3}0.697{col 56}{space 4}-.5623365{col 69}{space 3} .8350718
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m5: reg rectum_rat badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct_rd_sample_mean==1 , vce(cluster distancemean_7987_20) 

{txt}Linear regression                               Number of obs     = {res}     1,138
                                                {txt}{help j_robustsingular:F(44, 50) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1220
                                                {txt}Root MSE          =    {res} .17859

{txt}{ralign 80:(Std. Err. adjusted for {res:51} clusters in distancemean_7987_20)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}    rectum_rat{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}badstate_post {c |}{col 16}{res}{space 2} -.020088{col 28}{space 2} .0227471{col 39}{space 1}   -0.88{col 48}{space 3}0.381{col 56}{space 4}-.0657768{col 69}{space 3} .0256009
{txt}{space 14} {c |}
{space 10}year {c |}
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{txt}{space 9}1881  {c |}{col 16}{res}{space 2} .0591298{col 28}{space 2} .0315231{col 39}{space 1}    1.88{col 48}{space 3}0.067{col 56}{space 4}-.0041863{col 69}{space 3} .1224458
{txt}{space 9}1882  {c |}{col 16}{res}{space 2} .0805214{col 28}{space 2} .0381529{col 39}{space 1}    2.11{col 48}{space 3}0.040{col 56}{space 4} .0038891{col 69}{space 3} .1571537
{txt}{space 9}1883  {c |}{col 16}{res}{space 2} .0613985{col 28}{space 2} .0353452{col 39}{space 1}    1.74{col 48}{space 3}0.089{col 56}{space 4}-.0095944{col 69}{space 3} .1323914
{txt}{space 9}1884  {c |}{col 16}{res}{space 2} .0802266{col 28}{space 2} .0361876{col 39}{space 1}    2.22{col 48}{space 3}0.031{col 56}{space 4} .0075418{col 69}{space 3} .1529115
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{txt}{space 14} {c |}
{space 5}state_num {c |}
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{txt}{space 11}12  {c |}{col 16}{res}{space 2} .0403856{col 28}{space 2}  .038546{col 39}{space 1}    1.05{col 48}{space 3}0.300{col 56}{space 4}-.0370363{col 69}{space 3} .1178074
{txt}{space 11}14  {c |}{col 16}{res}{space 2}-.0577474{col 28}{space 2}  .036926{col 39}{space 1}   -1.56{col 48}{space 3}0.124{col 56}{space 4}-.1319154{col 69}{space 3} .0164207
{txt}{space 11}18  {c |}{col 16}{res}{space 2}-.0137101{col 28}{space 2} .0311459{col 39}{space 1}   -0.44{col 48}{space 3}0.662{col 56}{space 4}-.0762684{col 69}{space 3} .0488482
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{txt}{space 11}25  {c |}{col 16}{res}{space 2}-.0172802{col 28}{space 2} .0247804{col 39}{space 1}   -0.70{col 48}{space 3}0.489{col 56}{space 4}-.0670531{col 69}{space 3} .0324927
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{txt}{space 11}27  {c |}{col 16}{res}{space 2}-.0440175{col 28}{space 2} .0381359{col 39}{space 1}   -1.15{col 48}{space 3}0.254{col 56}{space 4}-.1206156{col 69}{space 3} .0325807
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{txt}{space 11}30  {c |}{col 16}{res}{space 2}  .155204{col 28}{space 2} .0678179{col 39}{space 1}    2.29{col 48}{space 3}0.026{col 56}{space 4} .0189878{col 69}{space 3} .2914202
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{txt}{space 11}67  {c |}{col 16}{res}{space 2}-.0111907{col 28}{space 2} .0231845{col 39}{space 1}   -0.48{col 48}{space 3}0.631{col 56}{space 4} -.057758{col 69}{space 3} .0353767
{txt}{space 11}69  {c |}{col 16}{res}{space 2}-.0388828{col 28}{space 2} .0354594{col 39}{space 1}   -1.10{col 48}{space 3}0.278{col 56}{space 4} -.110105{col 69}{space 3} .0323394
{txt}{space 11}70  {c |}{col 16}{res}{space 2}-.0095744{col 28}{space 2} .0234871{col 39}{space 1}   -0.41{col 48}{space 3}0.685{col 56}{space 4}-.0567497{col 69}{space 3}  .037601
{txt}{space 14} {c |}
{space 4}agetrimmed {c |}{col 16}{res}{space 2}-.0007613{col 28}{space 2}  .000489{col 39}{space 1}   -1.56{col 48}{space 3}0.126{col 56}{space 4}-.0017435{col 69}{space 3}  .000221
{txt}{space 1}heighttrimmed {c |}{col 16}{res}{space 2} .0013196{col 28}{space 2}  .003122{col 39}{space 1}    0.42{col 48}{space 3}0.674{col 56}{space 4}-.0049511{col 69}{space 3} .0075903
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{txt}{space 3}manufoutput {c |}{col 16}{res}{space 2}-.0000194{col 28}{space 2} .0001405{col 39}{space 1}   -0.14{col 48}{space 3}0.891{col 56}{space 4}-.0003015{col 69}{space 3} .0002628
{txt}{space 9}urban {c |}{col 16}{res}{space 2} .0002873{col 28}{space 2} .0274616{col 39}{space 1}    0.01{col 48}{space 3}0.992{col 56}{space 4}-.0548709{col 69}{space 3} .0554454
{txt}proportionfarm {c |}{col 16}{res}{space 2}-.0937334{col 28}{space 2} .0539599{col 39}{space 1}   -1.74{col 48}{space 3}0.089{col 56}{space 4} -.202115{col 69}{space 3} .0146482
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-.0406503{col 28}{space 2} .2003215{col 39}{space 1}   -0.20{col 48}{space 3}0.840{col 56}{space 4} -.443008{col 69}{space 3} .3617073
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m6: reg mental_rat badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct_rd_sample_mean==1 , vce(cluster distancemean_7987_20) 

{txt}Linear regression                               Number of obs     = {res}     1,138
                                                {txt}{help j_robustsingular:F(44, 50) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0771
                                                {txt}Root MSE          =    {res} .11206

{txt}{ralign 80:(Std. Err. adjusted for {res:51} clusters in distancemean_7987_20)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}    mental_rat{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}badstate_post {c |}{col 16}{res}{space 2}  .011968{col 28}{space 2} .0132006{col 39}{space 1}    0.91{col 48}{space 3}0.369{col 56}{space 4}-.0145461{col 69}{space 3} .0384821
{txt}{space 14} {c |}
{space 10}year {c |}
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{txt}{space 14} {c |}
{space 5}state_num {c |}
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{txt}{space 11}62  {c |}{col 16}{res}{space 2} .0134841{col 28}{space 2}  .024925{col 39}{space 1}    0.54{col 48}{space 3}0.591{col 56}{space 4}-.0365792{col 69}{space 3} .0635474
{txt}{space 11}65  {c |}{col 16}{res}{space 2}-.0097359{col 28}{space 2} .0134092{col 39}{space 1}   -0.73{col 48}{space 3}0.471{col 56}{space 4} -.036669{col 69}{space 3} .0171972
{txt}{space 11}67  {c |}{col 16}{res}{space 2}-.0079746{col 28}{space 2} .0115716{col 39}{space 1}   -0.69{col 48}{space 3}0.494{col 56}{space 4}-.0312168{col 69}{space 3} .0152677
{txt}{space 11}69  {c |}{col 16}{res}{space 2}-.0123927{col 28}{space 2} .0165898{col 39}{space 1}   -0.75{col 48}{space 3}0.459{col 56}{space 4}-.0457143{col 69}{space 3} .0209289
{txt}{space 11}70  {c |}{col 16}{res}{space 2}-.0167429{col 28}{space 2} .0133542{col 39}{space 1}   -1.25{col 48}{space 3}0.216{col 56}{space 4}-.0435656{col 69}{space 3} .0100798
{txt}{space 14} {c |}
{space 4}agetrimmed {c |}{col 16}{res}{space 2}-.0005227{col 28}{space 2} .0003723{col 39}{space 1}   -1.40{col 48}{space 3}0.167{col 56}{space 4}-.0012705{col 69}{space 3} .0002251
{txt}{space 1}heighttrimmed {c |}{col 16}{res}{space 2}-.0007384{col 28}{space 2} .0012837{col 39}{space 1}   -0.58{col 48}{space 3}0.568{col 56}{space 4}-.0033167{col 69}{space 3}   .00184
{txt}{space 2}percentblack {c |}{col 16}{res}{space 2} .0002382{col 28}{space 2} .0447868{col 39}{space 1}    0.01{col 48}{space 3}0.996{col 56}{space 4}-.0897187{col 69}{space 3} .0901952
{txt}{space 3}manufoutput {c |}{col 16}{res}{space 2} .0000332{col 28}{space 2} .0000651{col 39}{space 1}    0.51{col 48}{space 3}0.612{col 56}{space 4}-.0000976{col 69}{space 3} .0001639
{txt}{space 9}urban {c |}{col 16}{res}{space 2}-.0012721{col 28}{space 2}  .026713{col 39}{space 1}   -0.05{col 48}{space 3}0.962{col 56}{space 4}-.0549267{col 69}{space 3} .0523825
{txt}proportionfarm {c |}{col 16}{res}{space 2} .0447842{col 28}{space 2} .0272401{col 39}{space 1}    1.64{col 48}{space 3}0.106{col 56}{space 4}-.0099291{col 69}{space 3} .0994974
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} .0388257{col 28}{space 2} .0869433{col 39}{space 1}    0.45{col 48}{space 3}0.657{col 56}{space 4}-.1358051{col 69}{space 3} .2134565
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m7: reg varicose_rat badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct_rd_sample_mean==1 , vce(cluster distancemean_7987_20) 

{txt}Linear regression                               Number of obs     = {res}     1,138
                                                {txt}{help j_robustsingular:F(44, 50) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1148
                                                {txt}Root MSE          =    {res} .10225

{txt}{ralign 80:(Std. Err. adjusted for {res:51} clusters in distancemean_7987_20)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}  varicose_rat{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}badstate_post {c |}{col 16}{res}{space 2} .0069129{col 28}{space 2} .0079761{col 39}{space 1}    0.87{col 48}{space 3}0.390{col 56}{space 4}-.0091075{col 69}{space 3} .0229334
{txt}{space 14} {c |}
{space 10}year {c |}
{space 9}1880  {c |}{col 16}{res}{space 2} .0040034{col 28}{space 2} .0170034{col 39}{space 1}    0.24{col 48}{space 3}0.815{col 56}{space 4}-.0301489{col 69}{space 3} .0381558
{txt}{space 9}1881  {c |}{col 16}{res}{space 2} .0043101{col 28}{space 2} .0173124{col 39}{space 1}    0.25{col 48}{space 3}0.804{col 56}{space 4} -.030463{col 69}{space 3} .0390831
{txt}{space 9}1882  {c |}{col 16}{res}{space 2} .0151557{col 28}{space 2}  .016837{col 39}{space 1}    0.90{col 48}{space 3}0.372{col 56}{space 4}-.0186624{col 69}{space 3} .0489739
{txt}{space 9}1883  {c |}{col 16}{res}{space 2} .0069752{col 28}{space 2}  .014605{col 39}{space 1}    0.48{col 48}{space 3}0.635{col 56}{space 4}-.0223597{col 69}{space 3} .0363101
{txt}{space 9}1884  {c |}{col 16}{res}{space 2} .0152996{col 28}{space 2} .0163456{col 39}{space 1}    0.94{col 48}{space 3}0.354{col 56}{space 4}-.0175314{col 69}{space 3} .0481306
{txt}{space 9}1885  {c |}{col 16}{res}{space 2}-.0009468{col 28}{space 2} .0141781{col 39}{space 1}   -0.07{col 48}{space 3}0.947{col 56}{space 4}-.0294245{col 69}{space 3} .0275308
{txt}{space 9}1886  {c |}{col 16}{res}{space 2} .0005509{col 28}{space 2} .0123999{col 39}{space 1}    0.04{col 48}{space 3}0.965{col 56}{space 4}-.0243551{col 69}{space 3} .0254569
{txt}{space 9}1887  {c |}{col 16}{res}{space 2} .0026147{col 28}{space 2} .0164984{col 39}{space 1}    0.16{col 48}{space 3}0.875{col 56}{space 4}-.0305233{col 69}{space 3} .0357527
{txt}{space 14} {c |}
{space 5}state_num {c |}
{space 12}3  {c |}{col 16}{res}{space 2} .0149113{col 28}{space 2} .0105591{col 39}{space 1}    1.41{col 48}{space 3}0.164{col 56}{space 4}-.0062973{col 69}{space 3} .0361199
{txt}{space 12}9  {c |}{col 16}{res}{space 2} .0410115{col 28}{space 2} .0277559{col 39}{space 1}    1.48{col 48}{space 3}0.146{col 56}{space 4}-.0147379{col 69}{space 3}  .096761
{txt}{space 11}10  {c |}{col 16}{res}{space 2} .2032576{col 28}{space 2} .1630173{col 39}{space 1}    1.25{col 48}{space 3}0.218{col 56}{space 4}-.1241723{col 69}{space 3} .5306875
{txt}{space 11}11  {c |}{col 16}{res}{space 2} .0325815{col 28}{space 2} .0174729{col 39}{space 1}    1.86{col 48}{space 3}0.068{col 56}{space 4}-.0025138{col 69}{space 3} .0676768
{txt}{space 11}12  {c |}{col 16}{res}{space 2} .0039075{col 28}{space 2} .0059013{col 39}{space 1}    0.66{col 48}{space 3}0.511{col 56}{space 4}-.0079455{col 69}{space 3} .0157606
{txt}{space 11}14  {c |}{col 16}{res}{space 2} .0328127{col 28}{space 2} .0183798{col 39}{space 1}    1.79{col 48}{space 3}0.080{col 56}{space 4}-.0041041{col 69}{space 3} .0697295
{txt}{space 11}18  {c |}{col 16}{res}{space 2} .2768581{col 28}{space 2} .1804654{col 39}{space 1}    1.53{col 48}{space 3}0.131{col 56}{space 4}-.0856173{col 69}{space 3} .6393336
{txt}{space 11}20  {c |}{col 16}{res}{space 2} .0147955{col 28}{space 2} .0099446{col 39}{space 1}    1.49{col 48}{space 3}0.143{col 56}{space 4}-.0051788{col 69}{space 3} .0347698
{txt}{space 11}21  {c |}{col 16}{res}{space 2} .0184936{col 28}{space 2} .0101569{col 39}{space 1}    1.82{col 48}{space 3}0.075{col 56}{space 4}-.0019072{col 69}{space 3} .0388943
{txt}{space 11}25  {c |}{col 16}{res}{space 2} .0124433{col 28}{space 2} .0075368{col 39}{space 1}    1.65{col 48}{space 3}0.105{col 56}{space 4}-.0026948{col 69}{space 3} .0275813
{txt}{space 11}26  {c |}{col 16}{res}{space 2}-.0001438{col 28}{space 2} .0072299{col 39}{space 1}   -0.02{col 48}{space 3}0.984{col 56}{space 4}-.0146655{col 69}{space 3}  .014378
{txt}{space 11}27  {c |}{col 16}{res}{space 2} .0282019{col 28}{space 2} .0179284{col 39}{space 1}    1.57{col 48}{space 3}0.122{col 56}{space 4}-.0078083{col 69}{space 3} .0642121
{txt}{space 11}28  {c |}{col 16}{res}{space 2} .0585285{col 28}{space 2} .0240592{col 39}{space 1}    2.43{col 48}{space 3}0.019{col 56}{space 4} .0102042{col 69}{space 3} .1068529
{txt}{space 11}29  {c |}{col 16}{res}{space 2} .0078739{col 28}{space 2} .0049982{col 39}{space 1}    1.58{col 48}{space 3}0.121{col 56}{space 4}-.0021652{col 69}{space 3} .0179131
{txt}{space 11}30  {c |}{col 16}{res}{space 2} .0358123{col 28}{space 2} .0163784{col 39}{space 1}    2.19{col 48}{space 3}0.033{col 56}{space 4} .0029152{col 69}{space 3} .0687093
{txt}{space 11}31  {c |}{col 16}{res}{space 2} .0269174{col 28}{space 2} .0198352{col 39}{space 1}    1.36{col 48}{space 3}0.181{col 56}{space 4}-.0129228{col 69}{space 3} .0667576
{txt}{space 11}32  {c |}{col 16}{res}{space 2} .0213015{col 28}{space 2} .0116282{col 39}{space 1}    1.83{col 48}{space 3}0.073{col 56}{space 4}-.0020545{col 69}{space 3} .0446574
{txt}{space 11}33  {c |}{col 16}{res}{space 2} .0001794{col 28}{space 2} .0085826{col 39}{space 1}    0.02{col 48}{space 3}0.983{col 56}{space 4}-.0170592{col 69}{space 3} .0174179
{txt}{space 11}34  {c |}{col 16}{res}{space 2} .0055565{col 28}{space 2} .0140303{col 39}{space 1}    0.40{col 48}{space 3}0.694{col 56}{space 4}-.0226243{col 69}{space 3} .0337372
{txt}{space 11}38  {c |}{col 16}{res}{space 2}-.0008627{col 28}{space 2} .0075484{col 39}{space 1}   -0.11{col 48}{space 3}0.909{col 56}{space 4}-.0160241{col 69}{space 3} .0142988
{txt}{space 11}39  {c |}{col 16}{res}{space 2} .0406328{col 28}{space 2} .0238085{col 39}{space 1}    1.71{col 48}{space 3}0.094{col 56}{space 4}-.0071879{col 69}{space 3} .0884535
{txt}{space 11}40  {c |}{col 16}{res}{space 2} .0307339{col 28}{space 2} .0229153{col 39}{space 1}    1.34{col 48}{space 3}0.186{col 56}{space 4}-.0152928{col 69}{space 3} .0767606
{txt}{space 11}41  {c |}{col 16}{res}{space 2} .0112065{col 28}{space 2} .0113504{col 39}{space 1}    0.99{col 48}{space 3}0.328{col 56}{space 4}-.0115915{col 69}{space 3} .0340046
{txt}{space 11}42  {c |}{col 16}{res}{space 2} .0338923{col 28}{space 2} .0109328{col 39}{space 1}    3.10{col 48}{space 3}0.003{col 56}{space 4} .0119331{col 69}{space 3} .0558515
{txt}{space 11}48  {c |}{col 16}{res}{space 2} .0146232{col 28}{space 2}  .009052{col 39}{space 1}    1.62{col 48}{space 3}0.113{col 56}{space 4}-.0035583{col 69}{space 3} .0328046
{txt}{space 11}49  {c |}{col 16}{res}{space 2} .0055569{col 28}{space 2} .0100622{col 39}{space 1}    0.55{col 48}{space 3}0.583{col 56}{space 4}-.0146535{col 69}{space 3} .0257674
{txt}{space 11}53  {c |}{col 16}{res}{space 2} .0593033{col 28}{space 2} .0333175{col 39}{space 1}    1.78{col 48}{space 3}0.081{col 56}{space 4}-.0076168{col 69}{space 3} .1262233
{txt}{space 11}56  {c |}{col 16}{res}{space 2} .0493737{col 28}{space 2} .0232374{col 39}{space 1}    2.12{col 48}{space 3}0.039{col 56}{space 4}    .0027{col 69}{space 3} .0960475
{txt}{space 11}59  {c |}{col 16}{res}{space 2} .0143342{col 28}{space 2} .0145392{col 39}{space 1}    0.99{col 48}{space 3}0.329{col 56}{space 4}-.0148687{col 69}{space 3} .0435371
{txt}{space 11}62  {c |}{col 16}{res}{space 2} .0272504{col 28}{space 2} .0218791{col 39}{space 1}    1.25{col 48}{space 3}0.219{col 56}{space 4}-.0166951{col 69}{space 3} .0711959
{txt}{space 11}65  {c |}{col 16}{res}{space 2} .0032676{col 28}{space 2} .0095507{col 39}{space 1}    0.34{col 48}{space 3}0.734{col 56}{space 4}-.0159156{col 69}{space 3} .0224507
{txt}{space 11}67  {c |}{col 16}{res}{space 2}  .014631{col 28}{space 2} .0086054{col 39}{space 1}    1.70{col 48}{space 3}0.095{col 56}{space 4}-.0026535{col 69}{space 3} .0319154
{txt}{space 11}69  {c |}{col 16}{res}{space 2} .0013567{col 28}{space 2} .0124169{col 39}{space 1}    0.11{col 48}{space 3}0.913{col 56}{space 4}-.0235835{col 69}{space 3} .0262968
{txt}{space 11}70  {c |}{col 16}{res}{space 2}-.0098731{col 28}{space 2} .0139362{col 39}{space 1}   -0.71{col 48}{space 3}0.482{col 56}{space 4}-.0378648{col 69}{space 3} .0181186
{txt}{space 14} {c |}
{space 4}agetrimmed {c |}{col 16}{res}{space 2} .0004701{col 28}{space 2} .0002349{col 39}{space 1}    2.00{col 48}{space 3}0.051{col 56}{space 4}-1.77e-06{col 69}{space 3} .0009419
{txt}{space 1}heighttrimmed {c |}{col 16}{res}{space 2}  .001389{col 28}{space 2}  .001321{col 39}{space 1}    1.05{col 48}{space 3}0.298{col 56}{space 4}-.0012643{col 69}{space 3} .0040423
{txt}{space 2}percentblack {c |}{col 16}{res}{space 2} .0145655{col 28}{space 2} .0216648{col 39}{space 1}    0.67{col 48}{space 3}0.504{col 56}{space 4}-.0289495{col 69}{space 3} .0580805
{txt}{space 3}manufoutput {c |}{col 16}{res}{space 2}-.0000857{col 28}{space 2} .0000903{col 39}{space 1}   -0.95{col 48}{space 3}0.347{col 56}{space 4} -.000267{col 69}{space 3} .0000957
{txt}{space 9}urban {c |}{col 16}{res}{space 2}-.0076798{col 28}{space 2} .0243862{col 39}{space 1}   -0.31{col 48}{space 3}0.754{col 56}{space 4} -.056661{col 69}{space 3} .0413013
{txt}proportionfarm {c |}{col 16}{res}{space 2} .0520984{col 28}{space 2} .0284029{col 39}{space 1}    1.83{col 48}{space 3}0.073{col 56}{space 4}-.0049504{col 69}{space 3} .1091473
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-.1678316{col 28}{space 2} .0854522{col 39}{space 1}   -1.96{col 48}{space 3}0.055{col 56}{space 4}-.3394675{col 69}{space 3} .0038043
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. estout m1 m2 m3 m4 m5 m6 m7 using Table18_panel1.tex, replace style(tex) collabels(none) mlabels("Model 1" "Model 2" "Model 3" "Model 4" "Model 5" "Model 6" "Model 7", span prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) prehead("\begin{c -(}table{c )-}[htbp!]\caption{c -(}@title{c )-}" "\begin{c -(}center{c )-}" "\scriptsize" "\begin{c -(}threeparttable{c )-}"  "\begin{c -(}tabular{c )-}{c -(}l*{c -(}@M{c )-}{c -(}rr{c )-}{c )-}" "\hline")  cells(  b(star fmt(2)) se(par fmt(2)) ) starlevels(* .10 ** .05 *** .01)   s( N ) 
{res}{txt}(note: file Table18_panel1.tex not found)
(output written to {browse  `"Table18_panel1.tex"'})

{com}. 
. eststo m2: reg infect_rat badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct_rd_sample_mean==1 , vce(cluster distancemean_7987_20) 

{txt}Linear regression                               Number of obs     = {res}     1,138
                                                {txt}{help j_robustsingular:F(44, 50) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1122
                                                {txt}Root MSE          =    {res} .14929

{txt}{ralign 80:(Std. Err. adjusted for {res:51} clusters in distancemean_7987_20)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}    infect_rat{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}badstate_post {c |}{col 16}{res}{space 2} .0088245{col 28}{space 2} .0201961{col 39}{space 1}    0.44{col 48}{space 3}0.664{col 56}{space 4}-.0317406{col 69}{space 3} .0493897
{txt}{space 14} {c |}
{space 10}year {c |}
{space 9}1880  {c |}{col 16}{res}{space 2}-.0106545{col 28}{space 2} .0110883{col 39}{space 1}   -0.96{col 48}{space 3}0.341{col 56}{space 4}-.0329259{col 69}{space 3} .0116169
{txt}{space 9}1881  {c |}{col 16}{res}{space 2} .0044627{col 28}{space 2} .0136499{col 39}{space 1}    0.33{col 48}{space 3}0.745{col 56}{space 4} -.022954{col 69}{space 3} .0318794
{txt}{space 9}1882  {c |}{col 16}{res}{space 2}-.0122661{col 28}{space 2} .0105031{col 39}{space 1}   -1.17{col 48}{space 3}0.248{col 56}{space 4}-.0333622{col 69}{space 3}   .00883
{txt}{space 9}1883  {c |}{col 16}{res}{space 2} .0111808{col 28}{space 2} .0139384{col 39}{space 1}    0.80{col 48}{space 3}0.426{col 56}{space 4}-.0168153{col 69}{space 3} .0391769
{txt}{space 9}1884  {c |}{col 16}{res}{space 2} .0258105{col 28}{space 2} .0236179{col 39}{space 1}    1.09{col 48}{space 3}0.280{col 56}{space 4}-.0216274{col 69}{space 3} .0732485
{txt}{space 9}1885  {c |}{col 16}{res}{space 2}  .005642{col 28}{space 2} .0148674{col 39}{space 1}    0.38{col 48}{space 3}0.706{col 56}{space 4}  -.02422{col 69}{space 3}  .035504
{txt}{space 9}1886  {c |}{col 16}{res}{space 2} .0110008{col 28}{space 2} .0185907{col 39}{space 1}    0.59{col 48}{space 3}0.557{col 56}{space 4}-.0263397{col 69}{space 3} .0483414
{txt}{space 9}1887  {c |}{col 16}{res}{space 2} .0377319{col 28}{space 2} .0220592{col 39}{space 1}    1.71{col 48}{space 3}0.093{col 56}{space 4}-.0065753{col 69}{space 3} .0820392
{txt}{space 14} {c |}
{space 5}state_num {c |}
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{txt}{space 12}9  {c |}{col 16}{res}{space 2}-.0199852{col 28}{space 2} .0354208{col 39}{space 1}   -0.56{col 48}{space 3}0.575{col 56}{space 4}-.0911299{col 69}{space 3} .0511596
{txt}{space 11}10  {c |}{col 16}{res}{space 2} .0472492{col 28}{space 2} .0215883{col 39}{space 1}    2.19{col 48}{space 3}0.033{col 56}{space 4} .0038879{col 69}{space 3} .0906105
{txt}{space 11}11  {c |}{col 16}{res}{space 2} .0142505{col 28}{space 2} .0317439{col 39}{space 1}    0.45{col 48}{space 3}0.655{col 56}{space 4}-.0495089{col 69}{space 3}   .07801
{txt}{space 11}12  {c |}{col 16}{res}{space 2} .0050748{col 28}{space 2} .0132712{col 39}{space 1}    0.38{col 48}{space 3}0.704{col 56}{space 4}-.0215812{col 69}{space 3} .0317307
{txt}{space 11}14  {c |}{col 16}{res}{space 2} .0067416{col 28}{space 2} .0314886{col 39}{space 1}    0.21{col 48}{space 3}0.831{col 56}{space 4}-.0565051{col 69}{space 3} .0699884
{txt}{space 11}18  {c |}{col 16}{res}{space 2} .1872256{col 28}{space 2} .1142466{col 39}{space 1}    1.64{col 48}{space 3}0.108{col 56}{space 4}-.0422455{col 69}{space 3} .4166967
{txt}{space 11}20  {c |}{col 16}{res}{space 2}  .048123{col 28}{space 2} .0288505{col 39}{space 1}    1.67{col 48}{space 3}0.102{col 56}{space 4}-.0098248{col 69}{space 3} .1060709
{txt}{space 11}21  {c |}{col 16}{res}{space 2}  .028507{col 28}{space 2} .0197892{col 39}{space 1}    1.44{col 48}{space 3}0.156{col 56}{space 4}-.0112407{col 69}{space 3} .0682548
{txt}{space 11}25  {c |}{col 16}{res}{space 2} .0210064{col 28}{space 2} .0152297{col 39}{space 1}    1.38{col 48}{space 3}0.174{col 56}{space 4}-.0095833{col 69}{space 3} .0515961
{txt}{space 11}26  {c |}{col 16}{res}{space 2} .0712185{col 28}{space 2} .0217047{col 39}{space 1}    3.28{col 48}{space 3}0.002{col 56}{space 4} .0276233{col 69}{space 3} .1148137
{txt}{space 11}27  {c |}{col 16}{res}{space 2} .0105827{col 28}{space 2} .0283414{col 39}{space 1}    0.37{col 48}{space 3}0.710{col 56}{space 4}-.0463427{col 69}{space 3} .0675081
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{txt}{space 11}32  {c |}{col 16}{res}{space 2} .1024318{col 28}{space 2} .1134686{col 39}{space 1}    0.90{col 48}{space 3}0.371{col 56}{space 4}-.1254765{col 69}{space 3} .3303402
{txt}{space 11}33  {c |}{col 16}{res}{space 2} .0271642{col 28}{space 2} .0196356{col 39}{space 1}    1.38{col 48}{space 3}0.173{col 56}{space 4}-.0122751{col 69}{space 3} .0666034
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{txt}{space 11}65  {c |}{col 16}{res}{space 2}  .017431{col 28}{space 2} .0171611{col 39}{space 1}    1.02{col 48}{space 3}0.315{col 56}{space 4}-.0170382{col 69}{space 3} .0519002
{txt}{space 11}67  {c |}{col 16}{res}{space 2} .0086589{col 28}{space 2} .0126444{col 39}{space 1}    0.68{col 48}{space 3}0.497{col 56}{space 4}-.0167382{col 69}{space 3}  .034056
{txt}{space 11}69  {c |}{col 16}{res}{space 2}-.0030027{col 28}{space 2}  .018856{col 39}{space 1}   -0.16{col 48}{space 3}0.874{col 56}{space 4}-.0408762{col 69}{space 3} .0348708
{txt}{space 11}70  {c |}{col 16}{res}{space 2} .0080047{col 28}{space 2} .0183877{col 39}{space 1}    0.44{col 48}{space 3}0.665{col 56}{space 4}-.0289281{col 69}{space 3} .0449375
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{space 4}agetrimmed {c |}{col 16}{res}{space 2} .0004229{col 28}{space 2} .0005719{col 39}{space 1}    0.74{col 48}{space 3}0.463{col 56}{space 4}-.0007258{col 69}{space 3} .0015716
{txt}{space 1}heighttrimmed {c |}{col 16}{res}{space 2} .0009204{col 28}{space 2} .0015136{col 39}{space 1}    0.61{col 48}{space 3}0.546{col 56}{space 4}-.0021197{col 69}{space 3} .0039605
{txt}{space 2}percentblack {c |}{col 16}{res}{space 2} -.023212{col 28}{space 2}  .044534{col 39}{space 1}   -0.52{col 48}{space 3}0.605{col 56}{space 4}-.1126612{col 69}{space 3} .0662373
{txt}{space 3}manufoutput {c |}{col 16}{res}{space 2}-.0001548{col 28}{space 2}  .000096{col 39}{space 1}   -1.61{col 48}{space 3}0.113{col 56}{space 4}-.0003477{col 69}{space 3} .0000381
{txt}{space 9}urban {c |}{col 16}{res}{space 2}-.0035358{col 28}{space 2} .0289653{col 39}{space 1}   -0.12{col 48}{space 3}0.903{col 56}{space 4}-.0617143{col 69}{space 3} .0546428
{txt}proportionfarm {c |}{col 16}{res}{space 2}-.0173553{col 28}{space 2} .0410644{col 39}{space 1}   -0.42{col 48}{space 3}0.674{col 56}{space 4}-.0998356{col 69}{space 3}  .065125
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}  -.07473{col 28}{space 2} .1166215{col 39}{space 1}   -0.64{col 48}{space 3}0.525{col 56}{space 4}-.3089711{col 69}{space 3} .1595112
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m3: reg cardio_rat badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct_rd_sample_mean==1 , vce(cluster distancemean_7987_20) 

{txt}Linear regression                               Number of obs     = {res}     1,138
                                                {txt}{help j_robustsingular:F(44, 50) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0628
                                                {txt}Root MSE          =    {res} .19701

{txt}{ralign 80:(Std. Err. adjusted for {res:51} clusters in distancemean_7987_20)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}    cardio_rat{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}badstate_post {c |}{col 16}{res}{space 2} .0389276{col 28}{space 2} .0309312{col 39}{space 1}    1.26{col 48}{space 3}0.214{col 56}{space 4}-.0231996{col 69}{space 3} .1010548
{txt}{space 14} {c |}
{space 10}year {c |}
{space 9}1880  {c |}{col 16}{res}{space 2}  .027156{col 28}{space 2} .0168962{col 39}{space 1}    1.61{col 48}{space 3}0.114{col 56}{space 4}-.0067809{col 69}{space 3}  .061093
{txt}{space 9}1881  {c |}{col 16}{res}{space 2} .0364779{col 28}{space 2} .0187479{col 39}{space 1}    1.95{col 48}{space 3}0.057{col 56}{space 4}-.0011785{col 69}{space 3} .0741342
{txt}{space 9}1882  {c |}{col 16}{res}{space 2} .0357162{col 28}{space 2} .0199796{col 39}{space 1}    1.79{col 48}{space 3}0.080{col 56}{space 4} -.004414{col 69}{space 3} .0758464
{txt}{space 9}1883  {c |}{col 16}{res}{space 2} .0768476{col 28}{space 2} .0226717{col 39}{space 1}    3.39{col 48}{space 3}0.001{col 56}{space 4} .0313103{col 69}{space 3}  .122385
{txt}{space 9}1884  {c |}{col 16}{res}{space 2} .0476045{col 28}{space 2} .0281605{col 39}{space 1}    1.69{col 48}{space 3}0.097{col 56}{space 4}-.0089576{col 69}{space 3} .1041666
{txt}{space 9}1885  {c |}{col 16}{res}{space 2} .0784681{col 28}{space 2} .0399674{col 39}{space 1}    1.96{col 48}{space 3}0.055{col 56}{space 4}-.0018088{col 69}{space 3} .1587449
{txt}{space 9}1886  {c |}{col 16}{res}{space 2} .0805669{col 28}{space 2} .0244482{col 39}{space 1}    3.30{col 48}{space 3}0.002{col 56}{space 4} .0314613{col 69}{space 3} .1296725
{txt}{space 9}1887  {c |}{col 16}{res}{space 2} .0761184{col 28}{space 2} .0287603{col 39}{space 1}    2.65{col 48}{space 3}0.011{col 56}{space 4} .0183516{col 69}{space 3} .1338852
{txt}{space 14} {c |}
{space 5}state_num {c |}
{space 12}3  {c |}{col 16}{res}{space 2} .0293691{col 28}{space 2} .0392371{col 39}{space 1}    0.75{col 48}{space 3}0.458{col 56}{space 4}-.0494411{col 69}{space 3} .1081792
{txt}{space 12}9  {c |}{col 16}{res}{space 2}-.1401105{col 28}{space 2} .0478557{col 39}{space 1}   -2.93{col 48}{space 3}0.005{col 56}{space 4}-.2362315{col 69}{space 3}-.0439895
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{txt}{space 11}11  {c |}{col 16}{res}{space 2}   .08928{col 28}{space 2}  .040014{col 39}{space 1}    2.23{col 48}{space 3}0.030{col 56}{space 4} .0089096{col 69}{space 3} .1696504
{txt}{space 11}12  {c |}{col 16}{res}{space 2} .0374586{col 28}{space 2} .0275594{col 39}{space 1}    1.36{col 48}{space 3}0.180{col 56}{space 4}-.0178961{col 69}{space 3} .0928133
{txt}{space 11}14  {c |}{col 16}{res}{space 2}  .003615{col 28}{space 2} .0398241{col 39}{space 1}    0.09{col 48}{space 3}0.928{col 56}{space 4}-.0763741{col 69}{space 3} .0836041
{txt}{space 11}18  {c |}{col 16}{res}{space 2}-.0050139{col 28}{space 2} .0350712{col 39}{space 1}   -0.14{col 48}{space 3}0.887{col 56}{space 4}-.0754565{col 69}{space 3} .0654288
{txt}{space 11}20  {c |}{col 16}{res}{space 2} .0689128{col 28}{space 2} .0623826{col 39}{space 1}    1.10{col 48}{space 3}0.275{col 56}{space 4}-.0563863{col 69}{space 3}  .194212
{txt}{space 11}21  {c |}{col 16}{res}{space 2}  .057254{col 28}{space 2} .0428324{col 39}{space 1}    1.34{col 48}{space 3}0.187{col 56}{space 4}-.0287774{col 69}{space 3} .1432854
{txt}{space 11}25  {c |}{col 16}{res}{space 2}  .035332{col 28}{space 2}    .0359{col 39}{space 1}    0.98{col 48}{space 3}0.330{col 56}{space 4}-.0367752{col 69}{space 3} .1074392
{txt}{space 11}26  {c |}{col 16}{res}{space 2} .1584024{col 28}{space 2} .0438255{col 39}{space 1}    3.61{col 48}{space 3}0.001{col 56}{space 4} .0703762{col 69}{space 3} .2464285
{txt}{space 11}27  {c |}{col 16}{res}{space 2} .0125111{col 28}{space 2}  .043625{col 39}{space 1}    0.29{col 48}{space 3}0.775{col 56}{space 4}-.0751123{col 69}{space 3} .1001344
{txt}{space 11}28  {c |}{col 16}{res}{space 2}-.0031311{col 28}{space 2} .0393591{col 39}{space 1}   -0.08{col 48}{space 3}0.937{col 56}{space 4}-.0821863{col 69}{space 3}  .075924
{txt}{space 11}29  {c |}{col 16}{res}{space 2}  .061307{col 28}{space 2} .0357708{col 39}{space 1}    1.71{col 48}{space 3}0.093{col 56}{space 4}-.0105408{col 69}{space 3} .1331547
{txt}{space 11}30  {c |}{col 16}{res}{space 2}-.0724163{col 28}{space 2} .0414205{col 39}{space 1}   -1.75{col 48}{space 3}0.087{col 56}{space 4}-.1556118{col 69}{space 3} .0107792
{txt}{space 11}31  {c |}{col 16}{res}{space 2} .0471673{col 28}{space 2} .0351205{col 39}{space 1}    1.34{col 48}{space 3}0.185{col 56}{space 4}-.0233744{col 69}{space 3} .1177089
{txt}{space 11}32  {c |}{col 16}{res}{space 2} -.052103{col 28}{space 2} .0382165{col 39}{space 1}   -1.36{col 48}{space 3}0.179{col 56}{space 4}-.1288631{col 69}{space 3}  .024657
{txt}{space 11}33  {c |}{col 16}{res}{space 2} .0181545{col 28}{space 2} .0406834{col 39}{space 1}    0.45{col 48}{space 3}0.657{col 56}{space 4}-.0635605{col 69}{space 3} .0998696
{txt}{space 11}34  {c |}{col 16}{res}{space 2} .0983969{col 28}{space 2} .0566843{col 39}{space 1}    1.74{col 48}{space 3}0.089{col 56}{space 4}-.0154568{col 69}{space 3} .2122506
{txt}{space 11}38  {c |}{col 16}{res}{space 2} .1031347{col 28}{space 2} .0663426{col 39}{space 1}    1.55{col 48}{space 3}0.126{col 56}{space 4}-.0301184{col 69}{space 3} .2363877
{txt}{space 11}39  {c |}{col 16}{res}{space 2}-.1131784{col 28}{space 2} .0480956{col 39}{space 1}   -2.35{col 48}{space 3}0.023{col 56}{space 4}-.2097812{col 69}{space 3}-.0165756
{txt}{space 11}40  {c |}{col 16}{res}{space 2} .1517345{col 28}{space 2} .0721573{col 39}{space 1}    2.10{col 48}{space 3}0.041{col 56}{space 4} .0068023{col 69}{space 3} .2966667
{txt}{space 11}41  {c |}{col 16}{res}{space 2}-.0121974{col 28}{space 2} .0388619{col 39}{space 1}   -0.31{col 48}{space 3}0.755{col 56}{space 4}-.0902538{col 69}{space 3}  .065859
{txt}{space 11}42  {c |}{col 16}{res}{space 2} .0000746{col 28}{space 2} .0317027{col 39}{space 1}    0.00{col 48}{space 3}0.998{col 56}{space 4}-.0636022{col 69}{space 3} .0637513
{txt}{space 11}48  {c |}{col 16}{res}{space 2} .0352372{col 28}{space 2} .0401134{col 39}{space 1}    0.88{col 48}{space 3}0.384{col 56}{space 4}-.0453329{col 69}{space 3} .1158072
{txt}{space 11}49  {c |}{col 16}{res}{space 2} .0599877{col 28}{space 2} .0385669{col 39}{space 1}    1.56{col 48}{space 3}0.126{col 56}{space 4}-.0174762{col 69}{space 3} .1374515
{txt}{space 11}53  {c |}{col 16}{res}{space 2} .0786906{col 28}{space 2} .0403011{col 39}{space 1}    1.95{col 48}{space 3}0.056{col 56}{space 4}-.0022565{col 69}{space 3} .1596378
{txt}{space 11}56  {c |}{col 16}{res}{space 2} .0438748{col 28}{space 2} .0449326{col 39}{space 1}    0.98{col 48}{space 3}0.334{col 56}{space 4} -.046375{col 69}{space 3} .1341246
{txt}{space 11}59  {c |}{col 16}{res}{space 2} .0749316{col 28}{space 2} .0539137{col 39}{space 1}    1.39{col 48}{space 3}0.171{col 56}{space 4}-.0333572{col 69}{space 3} .1832203
{txt}{space 11}62  {c |}{col 16}{res}{space 2} .1262736{col 28}{space 2} .0424489{col 39}{space 1}    2.97{col 48}{space 3}0.005{col 56}{space 4} .0410126{col 69}{space 3} .2115347
{txt}{space 11}65  {c |}{col 16}{res}{space 2} .0720721{col 28}{space 2} .0340373{col 39}{space 1}    2.12{col 48}{space 3}0.039{col 56}{space 4} .0037062{col 69}{space 3} .1404381
{txt}{space 11}67  {c |}{col 16}{res}{space 2}-.0050512{col 28}{space 2} .0355842{col 39}{space 1}   -0.14{col 48}{space 3}0.888{col 56}{space 4}-.0765241{col 69}{space 3} .0664217
{txt}{space 11}69  {c |}{col 16}{res}{space 2}-.0004481{col 28}{space 2} .0371342{col 39}{space 1}   -0.01{col 48}{space 3}0.990{col 56}{space 4}-.0750343{col 69}{space 3} .0741382
{txt}{space 11}70  {c |}{col 16}{res}{space 2}-.0136011{col 28}{space 2}  .043728{col 39}{space 1}   -0.31{col 48}{space 3}0.757{col 56}{space 4}-.1014314{col 69}{space 3} .0742293
{txt}{space 14} {c |}
{space 4}agetrimmed {c |}{col 16}{res}{space 2}  .000926{col 28}{space 2} .0008017{col 39}{space 1}    1.16{col 48}{space 3}0.254{col 56}{space 4}-.0006842{col 69}{space 3} .0025362
{txt}{space 1}heighttrimmed {c |}{col 16}{res}{space 2}-.0003338{col 28}{space 2} .0029859{col 39}{space 1}   -0.11{col 48}{space 3}0.911{col 56}{space 4}-.0063312{col 69}{space 3} .0056637
{txt}{space 2}percentblack {c |}{col 16}{res}{space 2}-.1904168{col 28}{space 2} .1264033{col 39}{space 1}   -1.51{col 48}{space 3}0.138{col 56}{space 4}-.4443054{col 69}{space 3} .0634717
{txt}{space 3}manufoutput {c |}{col 16}{res}{space 2}-.0000432{col 28}{space 2}  .000145{col 39}{space 1}   -0.30{col 48}{space 3}0.767{col 56}{space 4}-.0003344{col 69}{space 3}  .000248
{txt}{space 9}urban {c |}{col 16}{res}{space 2}-.0440823{col 28}{space 2} .0476899{col 39}{space 1}   -0.92{col 48}{space 3}0.360{col 56}{space 4}-.1398703{col 69}{space 3} .0517056
{txt}proportionfarm {c |}{col 16}{res}{space 2}-.1275592{col 28}{space 2} .0386829{col 39}{space 1}   -3.30{col 48}{space 3}0.002{col 56}{space 4}-.2052561{col 69}{space 3}-.0498623
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} .0453175{col 28}{space 2} .2022197{col 39}{space 1}    0.22{col 48}{space 3}0.824{col 56}{space 4}-.3608526{col 69}{space 3} .4514877
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m4: reg eye_rat badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct_rd_sample_mean==1 , vce(cluster distancemean_7987_20) 

{txt}Linear regression                               Number of obs     = {res}     1,138
                                                {txt}{help j_robustsingular:F(44, 50) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0930
                                                {txt}Root MSE          =    {res} .20524

{txt}{ralign 80:(Std. Err. adjusted for {res:51} clusters in distancemean_7987_20)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}       eye_rat{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}badstate_post {c |}{col 16}{res}{space 2} .0057824{col 28}{space 2} .0245752{col 39}{space 1}    0.24{col 48}{space 3}0.815{col 56}{space 4}-.0435783{col 69}{space 3} .0551431
{txt}{space 14} {c |}
{space 10}year {c |}
{space 9}1880  {c |}{col 16}{res}{space 2} .0321124{col 28}{space 2} .0360277{col 39}{space 1}    0.89{col 48}{space 3}0.377{col 56}{space 4}-.0402513{col 69}{space 3} .1044762
{txt}{space 9}1881  {c |}{col 16}{res}{space 2} .0470399{col 28}{space 2} .0401676{col 39}{space 1}    1.17{col 48}{space 3}0.247{col 56}{space 4}-.0336391{col 69}{space 3} .1277188
{txt}{space 9}1882  {c |}{col 16}{res}{space 2} .0192999{col 28}{space 2}   .03744{col 39}{space 1}    0.52{col 48}{space 3}0.608{col 56}{space 4}-.0559006{col 69}{space 3} .0945004
{txt}{space 9}1883  {c |}{col 16}{res}{space 2} .0578808{col 28}{space 2} .0342558{col 39}{space 1}    1.69{col 48}{space 3}0.097{col 56}{space 4}-.0109241{col 69}{space 3} .1266856
{txt}{space 9}1884  {c |}{col 16}{res}{space 2} .0870867{col 28}{space 2} .0510351{col 39}{space 1}    1.71{col 48}{space 3}0.094{col 56}{space 4}-.0154202{col 69}{space 3} .1895937
{txt}{space 9}1885  {c |}{col 16}{res}{space 2} .0457421{col 28}{space 2} .0363217{col 39}{space 1}    1.26{col 48}{space 3}0.214{col 56}{space 4}-.0272121{col 69}{space 3} .1186963
{txt}{space 9}1886  {c |}{col 16}{res}{space 2} .1031879{col 28}{space 2} .0379204{col 39}{space 1}    2.72{col 48}{space 3}0.009{col 56}{space 4} .0270225{col 69}{space 3} .1793533
{txt}{space 9}1887  {c |}{col 16}{res}{space 2} .0830176{col 28}{space 2} .0421591{col 39}{space 1}    1.97{col 48}{space 3}0.054{col 56}{space 4}-.0016615{col 69}{space 3} .1676966
{txt}{space 14} {c |}
{space 5}state_num {c |}
{space 12}3  {c |}{col 16}{res}{space 2} .1014561{col 28}{space 2}  .048284{col 39}{space 1}    2.10{col 48}{space 3}0.041{col 56}{space 4} .0044749{col 69}{space 3} .1984374
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{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m5: reg endocrine_rat badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct_rd_sample_mean==1 , vce(cluster distancemean_7987_20) 

{txt}Linear regression                               Number of obs     = {res}     1,138
                                                {txt}{help j_robustsingular:F(44, 50) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0432
                                                {txt}Root MSE          =    {res} .05921

{txt}{ralign 80:(Std. Err. adjusted for {res:51} clusters in distancemean_7987_20)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1} endocrine_rat{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}badstate_post {c |}{col 16}{res}{space 2}-.0051579{col 28}{space 2} .0021973{col 39}{space 1}   -2.35{col 48}{space 3}0.023{col 56}{space 4}-.0095712{col 69}{space 3}-.0007446
{txt}{space 14} {c |}
{space 10}year {c |}
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{space 4}agetrimmed {c |}{col 16}{res}{space 2}-.0004679{col 28}{space 2} .0002569{col 39}{space 1}   -1.82{col 48}{space 3}0.075{col 56}{space 4}-.0009839{col 69}{space 3}  .000048
{txt}{space 1}heighttrimmed {c |}{col 16}{res}{space 2} .0001091{col 28}{space 2} .0004345{col 39}{space 1}    0.25{col 48}{space 3}0.803{col 56}{space 4}-.0007636{col 69}{space 3} .0009819
{txt}{space 2}percentblack {c |}{col 16}{res}{space 2} .0039708{col 28}{space 2} .0046311{col 39}{space 1}    0.86{col 48}{space 3}0.395{col 56}{space 4}-.0053311{col 69}{space 3} .0132727
{txt}{space 3}manufoutput {c |}{col 16}{res}{space 2}-1.25e-06{col 28}{space 2} 9.65e-06{col 39}{space 1}   -0.13{col 48}{space 3}0.898{col 56}{space 4}-.0000206{col 69}{space 3} .0000181
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{txt}proportionfarm {c |}{col 16}{res}{space 2} -.003207{col 28}{space 2} .0050817{col 39}{space 1}   -0.63{col 48}{space 3}0.531{col 56}{space 4}-.0134139{col 69}{space 3} .0069998
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} .0178375{col 28}{space 2} .0258204{col 39}{space 1}    0.69{col 48}{space 3}0.493{col 56}{space 4}-.0340243{col 69}{space 3} .0696994
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m6: reg gastro_rat badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct_rd_sample_mean==1 , vce(cluster distancemean_7987_20) 

{txt}Linear regression                               Number of obs     = {res}     1,138
                                                {txt}{help j_robustsingular:F(44, 50) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0619
                                                {txt}Root MSE          =    {res} .16864

{txt}{ralign 80:(Std. Err. adjusted for {res:51} clusters in distancemean_7987_20)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}    gastro_rat{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}badstate_post {c |}{col 16}{res}{space 2}-.0146816{col 28}{space 2} .0177149{col 39}{space 1}   -0.83{col 48}{space 3}0.411{col 56}{space 4} -.050263{col 69}{space 3} .0208999
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{space 10}year {c |}
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{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. eststo m7: reg kidney_rat badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct_rd_sample_mean==1 , vce(cluster distancemean_7987_20) 

{txt}Linear regression                               Number of obs     = {res}     1,138
                                                {txt}{help j_robustsingular:F(44, 50) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0689
                                                {txt}Root MSE          =    {res} .17039

{txt}{ralign 80:(Std. Err. adjusted for {res:51} clusters in distancemean_7987_20)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1}    kidney_rat{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
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{txt}{space 1}heighttrimmed {c |}{col 16}{res}{space 2} .0005325{col 28}{space 2} .0026064{col 39}{space 1}    0.20{col 48}{space 3}0.839{col 56}{space 4}-.0047027{col 69}{space 3} .0057676
{txt}{space 2}percentblack {c |}{col 16}{res}{space 2}-.0598648{col 28}{space 2} .0669184{col 39}{space 1}   -0.89{col 48}{space 3}0.375{col 56}{space 4}-.1942744{col 69}{space 3} .0745448
{txt}{space 3}manufoutput {c |}{col 16}{res}{space 2} -.000043{col 28}{space 2} .0000879{col 39}{space 1}   -0.49{col 48}{space 3}0.627{col 56}{space 4}-.0002196{col 69}{space 3} .0001336
{txt}{space 9}urban {c |}{col 16}{res}{space 2}-.0231399{col 28}{space 2} .0258523{col 39}{space 1}   -0.90{col 48}{space 3}0.375{col 56}{space 4}-.0750658{col 69}{space 3}  .028786
{txt}proportionfarm {c |}{col 16}{res}{space 2} .0357972{col 28}{space 2} .0253291{col 39}{space 1}    1.41{col 48}{space 3}0.164{col 56}{space 4}-.0150779{col 69}{space 3} .0866723
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} -.056956{col 28}{space 2} .1861184{col 39}{space 1}   -0.31{col 48}{space 3}0.761{col 56}{space 4}-.4307858{col 69}{space 3} .3168737
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. estout m2 m3 m4 m5 m6 m7 using Table18_panel2.tex, replace style(tex) collabels(none) mlabels("Model 1" "Model 2" "Model 3" "Model 4" "Model 5" "Model 6", span prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) prehead("\begin{c -(}table{c )-}[htbp!]\caption{c -(}@title{c )-}" "\begin{c -(}center{c )-}" "\scriptsize" "\begin{c -(}threeparttable{c )-}"  "\begin{c -(}tabular{c )-}{c -(}l*{c -(}@M{c )-}{c -(}rr{c )-}{c )-}" "\hline")  cells(  b(star fmt(2)) se(par fmt(2)) ) starlevels(* .10 ** .05 *** .01)   s( N )  
{res}{txt}(note: file Table18_panel2.tex not found)
(output written to {browse  `"Table18_panel2.tex"'})

{com}. 
. *Table 19
. 
. eststo m1: reg weighttrimmed badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct_rd_sample_mean==1 & postrulinglaw~=1, cluster(distancemean_7987_20)

{txt}Linear regression                               Number of obs     = {res}       792
                                                {txt}{help j_robustsingular:F(36, 46) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2194
                                                {txt}Root MSE          =    {res} 18.561

{txt}{ralign 80:(Std. Err. adjusted for {res:47} clusters in distancemean_7987_20)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1} weighttrimmed{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}badstate_post {c |}{col 16}{res}{space 2}-3.251441{col 28}{space 2} 1.654187{col 39}{space 1}   -1.97{col 48}{space 3}0.055{col 56}{space 4}-6.581146{col 69}{space 3} .0782642
{txt}{space 14} {c |}
{space 10}year {c |}
{space 9}1880  {c |}{col 16}{res}{space 2}-.9827523{col 28}{space 2} 6.949854{col 39}{space 1}   -0.14{col 48}{space 3}0.888{col 56}{space 4}-14.97208{col 69}{space 3} 13.00658
{txt}{space 9}1881  {c |}{col 16}{res}{space 2} 1.337053{col 28}{space 2} 4.430538{col 39}{space 1}    0.30{col 48}{space 3}0.764{col 56}{space 4}-7.581158{col 69}{space 3} 10.25526
{txt}{space 9}1882  {c |}{col 16}{res}{space 2} 3.761593{col 28}{space 2} 4.431632{col 39}{space 1}    0.85{col 48}{space 3}0.400{col 56}{space 4} -5.15882{col 69}{space 3} 12.68201
{txt}{space 9}1883  {c |}{col 16}{res}{space 2} 1.984332{col 28}{space 2} 4.220673{col 39}{space 1}    0.47{col 48}{space 3}0.640{col 56}{space 4}-6.511442{col 69}{space 3} 10.48011
{txt}{space 9}1884  {c |}{col 16}{res}{space 2}-.5942995{col 28}{space 2} 4.372136{col 39}{space 1}   -0.14{col 48}{space 3}0.892{col 56}{space 4}-9.394953{col 69}{space 3} 8.206354
{txt}{space 9}1885  {c |}{col 16}{res}{space 2} 5.742984{col 28}{space 2} 4.253162{col 39}{space 1}    1.35{col 48}{space 3}0.184{col 56}{space 4}-2.818187{col 69}{space 3} 14.30416
{txt}{space 9}1886  {c |}{col 16}{res}{space 2} 3.817545{col 28}{space 2} 4.317736{col 39}{space 1}    0.88{col 48}{space 3}0.381{col 56}{space 4}-4.873606{col 69}{space 3}  12.5087
{txt}{space 9}1887  {c |}{col 16}{res}{space 2} 7.218203{col 28}{space 2} 5.084126{col 39}{space 1}    1.42{col 48}{space 3}0.162{col 56}{space 4}-3.015613{col 69}{space 3} 17.45202
{txt}{space 14} {c |}
{space 5}state_num {c |}
{space 12}3  {c |}{col 16}{res}{space 2} 1.741688{col 28}{space 2} 9.782336{col 39}{space 1}    0.18{col 48}{space 3}0.859{col 56}{space 4}-17.94913{col 69}{space 3} 21.43251
{txt}{space 11}11  {c |}{col 16}{res}{space 2} 3.746457{col 28}{space 2}  8.12497{col 39}{space 1}    0.46{col 48}{space 3}0.647{col 56}{space 4}-12.60826{col 69}{space 3} 20.10117
{txt}{space 11}12  {c |}{col 16}{res}{space 2} .7409179{col 28}{space 2} 8.363814{col 39}{space 1}    0.09{col 48}{space 3}0.930{col 56}{space 4}-16.09457{col 69}{space 3}  17.5764
{txt}{space 11}14  {c |}{col 16}{res}{space 2}-5.791883{col 28}{space 2} 6.894273{col 39}{space 1}   -0.84{col 48}{space 3}0.405{col 56}{space 4}-19.66933{col 69}{space 3} 8.085569
{txt}{space 11}18  {c |}{col 16}{res}{space 2}-4.433246{col 28}{space 2} 9.968255{col 39}{space 1}   -0.44{col 48}{space 3}0.659{col 56}{space 4} -24.4983{col 69}{space 3} 15.63181
{txt}{space 11}25  {c |}{col 16}{res}{space 2} 1.996148{col 28}{space 2} 9.189309{col 39}{space 1}    0.22{col 48}{space 3}0.829{col 56}{space 4}-16.50097{col 69}{space 3} 20.49327
{txt}{space 11}26  {c |}{col 16}{res}{space 2} 2.163477{col 28}{space 2} 8.386339{col 39}{space 1}    0.26{col 48}{space 3}0.798{col 56}{space 4}-14.71735{col 69}{space 3}  19.0443
{txt}{space 11}27  {c |}{col 16}{res}{space 2}-3.694828{col 28}{space 2}  10.1827{col 39}{space 1}   -0.36{col 48}{space 3}0.718{col 56}{space 4}-24.19155{col 69}{space 3} 16.80189
{txt}{space 11}28  {c |}{col 16}{res}{space 2} 21.26107{col 28}{space 2} 11.56472{col 39}{space 1}    1.84{col 48}{space 3}0.072{col 56}{space 4}-2.017505{col 69}{space 3} 44.53964
{txt}{space 11}29  {c |}{col 16}{res}{space 2}-1.124029{col 28}{space 2} 7.886505{col 39}{space 1}   -0.14{col 48}{space 3}0.887{col 56}{space 4}-16.99874{col 69}{space 3} 14.75068
{txt}{space 11}30  {c |}{col 16}{res}{space 2} 21.06623{col 28}{space 2} 20.95463{col 39}{space 1}    1.01{col 48}{space 3}0.320{col 56}{space 4}-21.11325{col 69}{space 3} 63.24572
{txt}{space 11}33  {c |}{col 16}{res}{space 2} 7.420568{col 28}{space 2} 9.591681{col 39}{space 1}    0.77{col 48}{space 3}0.443{col 56}{space 4}-11.88649{col 69}{space 3} 26.72762
{txt}{space 11}34  {c |}{col 16}{res}{space 2}-10.64827{col 28}{space 2} 8.342802{col 39}{space 1}   -1.28{col 48}{space 3}0.208{col 56}{space 4}-27.44146{col 69}{space 3} 6.144916
{txt}{space 11}38  {c |}{col 16}{res}{space 2}-10.15981{col 28}{space 2} 8.580135{col 39}{space 1}   -1.18{col 48}{space 3}0.242{col 56}{space 4}-27.43073{col 69}{space 3} 7.111108
{txt}{space 11}39  {c |}{col 16}{res}{space 2} 29.29983{col 28}{space 2} 16.31009{col 39}{space 1}    1.80{col 48}{space 3}0.079{col 56}{space 4}-3.530681{col 69}{space 3} 62.13033
{txt}{space 11}40  {c |}{col 16}{res}{space 2}-16.58298{col 28}{space 2} 9.580029{col 39}{space 1}   -1.73{col 48}{space 3}0.090{col 56}{space 4}-35.86658{col 69}{space 3} 2.700616
{txt}{space 11}41  {c |}{col 16}{res}{space 2} 25.48766{col 28}{space 2} 10.08037{col 39}{space 1}    2.53{col 48}{space 3}0.015{col 56}{space 4} 5.196933{col 69}{space 3} 45.77839
{txt}{space 11}48  {c |}{col 16}{res}{space 2} 4.758899{col 28}{space 2} 10.12565{col 39}{space 1}    0.47{col 48}{space 3}0.641{col 56}{space 4}-15.62298{col 69}{space 3} 25.14078
{txt}{space 11}53  {c |}{col 16}{res}{space 2} 4.755772{col 28}{space 2} 10.09664{col 39}{space 1}    0.47{col 48}{space 3}0.640{col 56}{space 4}-15.56772{col 69}{space 3} 25.07926
{txt}{space 11}59  {c |}{col 16}{res}{space 2}-16.03616{col 28}{space 2} 7.889158{col 39}{space 1}   -2.03{col 48}{space 3}0.048{col 56}{space 4}-31.91621{col 69}{space 3}-.1561106
{txt}{space 11}62  {c |}{col 16}{res}{space 2}-1.261841{col 28}{space 2} 6.588958{col 39}{space 1}   -0.19{col 48}{space 3}0.849{col 56}{space 4}-14.52473{col 69}{space 3} 12.00104
{txt}{space 11}65  {c |}{col 16}{res}{space 2}-4.841064{col 28}{space 2} 7.105316{col 39}{space 1}   -0.68{col 48}{space 3}0.499{col 56}{space 4}-19.14332{col 69}{space 3} 9.461195
{txt}{space 11}67  {c |}{col 16}{res}{space 2}-13.15784{col 28}{space 2} 9.923896{col 39}{space 1}   -1.33{col 48}{space 3}0.191{col 56}{space 4}-33.13361{col 69}{space 3} 6.817924
{txt}{space 11}69  {c |}{col 16}{res}{space 2} 26.13648{col 28}{space 2} 11.95475{col 39}{space 1}    2.19{col 48}{space 3}0.034{col 56}{space 4} 2.072828{col 69}{space 3} 50.20014
{txt}{space 11}70  {c |}{col 16}{res}{space 2} 5.690032{col 28}{space 2} 9.440262{col 39}{space 1}    0.60{col 48}{space 3}0.550{col 56}{space 4}-13.31223{col 69}{space 3} 24.69229
{txt}{space 14} {c |}
{space 4}agetrimmed {c |}{col 16}{res}{space 2}-.1230587{col 28}{space 2} .1041929{col 39}{space 1}   -1.18{col 48}{space 3}0.244{col 56}{space 4}-.3327882{col 69}{space 3} .0866707
{txt}{space 1}heighttrimmed {c |}{col 16}{res}{space 2} 2.528044{col 28}{space 2}  .395443{col 39}{space 1}    6.39{col 48}{space 3}0.000{col 56}{space 4} 1.732059{col 69}{space 3}  3.32403
{txt}{space 2}percentblack {c |}{col 16}{res}{space 2} 23.42346{col 28}{space 2} 12.97406{col 39}{space 1}    1.81{col 48}{space 3}0.078{col 56}{space 4} -2.69196{col 69}{space 3} 49.53888
{txt}{space 3}manufoutput {c |}{col 16}{res}{space 2} .0089396{col 28}{space 2} .0204448{col 39}{space 1}    0.44{col 48}{space 3}0.664{col 56}{space 4}-.0322136{col 69}{space 3} .0500928
{txt}{space 9}urban {c |}{col 16}{res}{space 2}-7.549354{col 28}{space 2} 5.010257{col 39}{space 1}   -1.51{col 48}{space 3}0.139{col 56}{space 4}-17.63448{col 69}{space 3} 2.535771
{txt}proportionfarm {c |}{col 16}{res}{space 2} 4.485782{col 28}{space 2} 4.962545{col 39}{space 1}    0.90{col 48}{space 3}0.371{col 56}{space 4}-5.503302{col 69}{space 3} 14.47487
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-22.25294{col 28}{space 2} 33.67115{col 39}{space 1}   -0.66{col 48}{space 3}0.512{col 56}{space 4}-90.02945{col 69}{space 3} 45.52357
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. eststo m2: areg weighttrimmed badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if usct_rd_sample_mean==1 & postrulinglaw~=1 , vce(cluster distancemean_7987_20) absorb(recid)
{txt}note: 12.state_num omitted because of collinearity
{txt}note: 14.state_num omitted because of collinearity
{txt}note: 18.state_num omitted because of collinearity
{txt}note: 25.state_num omitted because of collinearity
{txt}note: 26.state_num omitted because of collinearity
{txt}note: 30.state_num omitted because of collinearity
{txt}note: 33.state_num omitted because of collinearity
{txt}note: 39.state_num omitted because of collinearity
{txt}note: 40.state_num omitted because of collinearity
{txt}note: 41.state_num omitted because of collinearity
{txt}note: 59.state_num omitted because of collinearity
{txt}note: 69.state_num omitted because of collinearity
{txt}note: 70.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}       792
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}       305
{txt}{col 49}{help j_robustsingular##|_new:F(  18,     46)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.8598
{txt}{col 49}Adj R-squared{col 67}= {res}    0.7590
{txt}{col 49}Root MSE{col 67}= {res}    9.9528

{txt}{ralign 80:(Std. Err. adjusted for {res:47} clusters in distancemean_7987_20)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1} weighttrimmed{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}badstate_post {c |}{col 16}{res}{space 2}-2.148043{col 28}{space 2} 1.293407{col 39}{space 1}   -1.66{col 48}{space 3}0.104{col 56}{space 4}-4.751537{col 69}{space 3} .4554503
{txt}{space 14} {c |}
{space 10}year {c |}
{space 9}1880  {c |}{col 16}{res}{space 2}-6.032576{col 28}{space 2} 11.25759{col 39}{space 1}   -0.54{col 48}{space 3}0.595{col 56}{space 4}-28.69294{col 69}{space 3} 16.62779
{txt}{space 9}1881  {c |}{col 16}{res}{space 2}-.4708596{col 28}{space 2} 7.691183{col 39}{space 1}   -0.06{col 48}{space 3}0.951{col 56}{space 4}-15.95241{col 69}{space 3} 15.01069
{txt}{space 9}1882  {c |}{col 16}{res}{space 2}  .218843{col 28}{space 2}    7.631{col 39}{space 1}    0.03{col 48}{space 3}0.977{col 56}{space 4}-15.14156{col 69}{space 3} 15.57925
{txt}{space 9}1883  {c |}{col 16}{res}{space 2}-.5200129{col 28}{space 2} 7.817334{col 39}{space 1}   -0.07{col 48}{space 3}0.947{col 56}{space 4}-16.25549{col 69}{space 3} 15.21546
{txt}{space 9}1884  {c |}{col 16}{res}{space 2} .9387452{col 28}{space 2} 7.173696{col 39}{space 1}    0.13{col 48}{space 3}0.896{col 56}{space 4}-13.50116{col 69}{space 3} 15.37865
{txt}{space 9}1885  {c |}{col 16}{res}{space 2} 1.510012{col 28}{space 2}  7.18485{col 39}{space 1}    0.21{col 48}{space 3}0.834{col 56}{space 4}-12.95234{col 69}{space 3} 15.97237
{txt}{space 9}1886  {c |}{col 16}{res}{space 2}-.6375604{col 28}{space 2} 6.878047{col 39}{space 1}   -0.09{col 48}{space 3}0.927{col 56}{space 4}-14.48235{col 69}{space 3} 13.20723
{txt}{space 9}1887  {c |}{col 16}{res}{space 2} .8199127{col 28}{space 2} 7.318557{col 39}{space 1}    0.11{col 48}{space 3}0.911{col 56}{space 4}-13.91158{col 69}{space 3}  15.5514
{txt}{space 14} {c |}
{space 5}state_num {c |}
{space 12}3  {c |}{col 16}{res}{space 2}-.5388012{col 28}{space 2} 8.365018{col 39}{space 1}   -0.06{col 48}{space 3}0.949{col 56}{space 4}-17.37671{col 69}{space 3} 16.29911
{txt}{space 11}11  {c |}{col 16}{res}{space 2} -22.0882{col 28}{space 2} 7.246411{col 39}{space 1}   -3.05{col 48}{space 3}0.004{col 56}{space 4}-36.67447{col 69}{space 3}-7.501934
{txt}{space 11}12  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}14  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}18  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}25  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}26  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}27  {c |}{col 16}{res}{space 2} -4.64402{col 28}{space 2} 4.867036{col 39}{space 1}   -0.95{col 48}{space 3}0.345{col 56}{space 4}-14.44085{col 69}{space 3} 5.152815
{txt}{space 11}28  {c |}{col 16}{res}{space 2}-5.750007{col 28}{space 2} 6.636128{col 39}{space 1}   -0.87{col 48}{space 3}0.391{col 56}{space 4}-19.10784{col 69}{space 3} 7.607827
{txt}{space 11}29  {c |}{col 16}{res}{space 2}-1.044571{col 28}{space 2} 3.165293{col 39}{space 1}   -0.33{col 48}{space 3}0.743{col 56}{space 4}-7.415974{col 69}{space 3} 5.326833
{txt}{space 11}30  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}33  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}34  {c |}{col 16}{res}{space 2}-8.550508{col 28}{space 2} 3.059254{col 39}{space 1}   -2.79{col 48}{space 3}0.008{col 56}{space 4}-14.70847{col 69}{space 3} -2.39255
{txt}{space 11}38  {c |}{col 16}{res}{space 2}-12.11755{col 28}{space 2} 6.645834{col 39}{space 1}   -1.82{col 48}{space 3}0.075{col 56}{space 4}-25.49492{col 69}{space 3} 1.259825
{txt}{space 11}39  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}40  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}41  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}48  {c |}{col 16}{res}{space 2}-11.35591{col 28}{space 2} 6.216896{col 39}{space 1}   -1.83{col 48}{space 3}0.074{col 56}{space 4}-23.86987{col 69}{space 3} 1.158051
{txt}{space 11}53  {c |}{col 16}{res}{space 2}-8.425362{col 28}{space 2} 4.325739{col 39}{space 1}   -1.95{col 48}{space 3}0.058{col 56}{space 4}-17.13262{col 69}{space 3} .2818995
{txt}{space 11}59  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}62  {c |}{col 16}{res}{space 2}-.0251748{col 28}{space 2} 3.883993{col 39}{space 1}   -0.01{col 48}{space 3}0.995{col 56}{space 4}-7.843248{col 69}{space 3} 7.792898
{txt}{space 11}65  {c |}{col 16}{res}{space 2}-3.888609{col 28}{space 2} 4.341236{col 39}{space 1}   -0.90{col 48}{space 3}0.375{col 56}{space 4}-12.62706{col 69}{space 3} 4.849845
{txt}{space 11}67  {c |}{col 16}{res}{space 2}-17.93303{col 28}{space 2} 7.251752{col 39}{space 1}   -2.47{col 48}{space 3}0.017{col 56}{space 4}-32.53005{col 69}{space 3}-3.336011
{txt}{space 11}69  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}70  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 14} {c |}
{space 4}agetrimmed {c |}{col 16}{res}{space 2}  .046436{col 28}{space 2} .3500517{col 39}{space 1}    0.13{col 48}{space 3}0.895{col 56}{space 4}-.6581815{col 69}{space 3} .7510534
{txt}{space 1}heighttrimmed {c |}{col 16}{res}{space 2} .1302398{col 28}{space 2} .9147237{col 39}{space 1}    0.14{col 48}{space 3}0.887{col 56}{space 4}-1.711003{col 69}{space 3} 1.971483
{txt}{space 2}percentblack {c |}{col 16}{res}{space 2}-1.034732{col 28}{space 2} 6.402704{col 39}{space 1}   -0.16{col 48}{space 3}0.872{col 56}{space 4}-13.92271{col 69}{space 3} 11.85324
{txt}{space 3}manufoutput {c |}{col 16}{res}{space 2} .0083804{col 28}{space 2} .0231546{col 39}{space 1}    0.36{col 48}{space 3}0.719{col 56}{space 4}-.0382274{col 69}{space 3} .0549883
{txt}{space 9}urban {c |}{col 16}{res}{space 2}-2.280586{col 28}{space 2} 5.829159{col 39}{space 1}   -0.39{col 48}{space 3}0.697{col 56}{space 4}-14.01407{col 69}{space 3} 9.452902
{txt}proportionfarm {c |}{col 16}{res}{space 2} 1.429971{col 28}{space 2} 4.807549{col 39}{space 1}    0.30{col 48}{space 3}0.767{col 56}{space 4}-8.247123{col 69}{space 3} 11.10706
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 148.3634{col 28}{space 2} 75.40956{col 39}{space 1}    1.97{col 48}{space 3}0.055{col 56}{space 4}-3.428157{col 69}{space 3}  300.155
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. eststo m3: reg weighttrimmed badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if ua_rd_sample_mean==1 & postrulinglaw~=1, cluster(distancemean_7987_20)

{txt}Linear regression                               Number of obs     = {res}     4,032
                                                {txt}{help j_robustsingular:F(38, 71) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2039
                                                {txt}Root MSE          =    {res} 17.847

{txt}{ralign 80:(Std. Err. adjusted for {res:72} clusters in distancemean_7987_20)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1} weighttrimmed{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}badstate_post {c |}{col 16}{res}{space 2} 2.411125{col 28}{space 2}  .985055{col 39}{space 1}    2.45{col 48}{space 3}0.017{col 56}{space 4} .4469808{col 69}{space 3} 4.375269
{txt}{space 14} {c |}
{space 10}year {c |}
{space 9}1880  {c |}{col 16}{res}{space 2} 3.492186{col 28}{space 2} 2.514803{col 39}{space 1}    1.39{col 48}{space 3}0.169{col 56}{space 4}-1.522188{col 69}{space 3} 8.506561
{txt}{space 9}1881  {c |}{col 16}{res}{space 2} 2.078164{col 28}{space 2} 2.392094{col 39}{space 1}    0.87{col 48}{space 3}0.388{col 56}{space 4}-2.691536{col 69}{space 3} 6.847864
{txt}{space 9}1882  {c |}{col 16}{res}{space 2} 3.030703{col 28}{space 2} 2.334416{col 39}{space 1}    1.30{col 48}{space 3}0.198{col 56}{space 4} -1.62399{col 69}{space 3} 7.685395
{txt}{space 9}1883  {c |}{col 16}{res}{space 2} 4.265752{col 28}{space 2} 2.415758{col 39}{space 1}    1.77{col 48}{space 3}0.082{col 56}{space 4}-.5511325{col 69}{space 3} 9.082636
{txt}{space 9}1884  {c |}{col 16}{res}{space 2} 1.695296{col 28}{space 2} 2.593845{col 39}{space 1}    0.65{col 48}{space 3}0.515{col 56}{space 4}-3.476683{col 69}{space 3} 6.867276
{txt}{space 9}1885  {c |}{col 16}{res}{space 2} 1.837361{col 28}{space 2} 2.618842{col 39}{space 1}    0.70{col 48}{space 3}0.485{col 56}{space 4}-3.384462{col 69}{space 3} 7.059185
{txt}{space 9}1886  {c |}{col 16}{res}{space 2} 5.086268{col 28}{space 2} 2.690812{col 39}{space 1}    1.89{col 48}{space 3}0.063{col 56}{space 4}-.2790587{col 69}{space 3}  10.4516
{txt}{space 9}1887  {c |}{col 16}{res}{space 2} 4.444318{col 28}{space 2} 2.675281{col 39}{space 1}    1.66{col 48}{space 3}0.101{col 56}{space 4}-.8900399{col 69}{space 3} 9.778677
{txt}{space 14} {c |}
{space 5}state_num {c |}
{space 12}3  {c |}{col 16}{res}{space 2}-1.282494{col 28}{space 2} 3.453827{col 39}{space 1}   -0.37{col 48}{space 3}0.712{col 56}{space 4} -8.16923{col 69}{space 3} 5.604241
{txt}{space 12}6  {c |}{col 16}{res}{space 2} 4.350747{col 28}{space 2} 4.794182{col 39}{space 1}    0.91{col 48}{space 3}0.367{col 56}{space 4} -5.20858{col 69}{space 3} 13.91007
{txt}{space 11}11  {c |}{col 16}{res}{space 2} 26.62355{col 28}{space 2}  10.5906{col 39}{space 1}    2.51{col 48}{space 3}0.014{col 56}{space 4} 5.506481{col 69}{space 3} 47.74061
{txt}{space 11}12  {c |}{col 16}{res}{space 2}-7.315827{col 28}{space 2} 2.800757{col 39}{space 1}   -2.61{col 48}{space 3}0.011{col 56}{space 4}-12.90038{col 69}{space 3}-1.731276
{txt}{space 11}13  {c |}{col 16}{res}{space 2}-.3154299{col 28}{space 2} 2.831265{col 39}{space 1}   -0.11{col 48}{space 3}0.912{col 56}{space 4}-5.960813{col 69}{space 3} 5.329953
{txt}{space 11}14  {c |}{col 16}{res}{space 2} 2.307088{col 28}{space 2} 2.055352{col 39}{space 1}    1.12{col 48}{space 3}0.265{col 56}{space 4}-1.791167{col 69}{space 3} 6.405343
{txt}{space 11}15  {c |}{col 16}{res}{space 2} 9.935118{col 28}{space 2} 2.207244{col 39}{space 1}    4.50{col 48}{space 3}0.000{col 56}{space 4} 5.533999{col 69}{space 3} 14.33624
{txt}{space 11}18  {c |}{col 16}{res}{space 2} 5.631818{col 28}{space 2} 2.507878{col 39}{space 1}    2.25{col 48}{space 3}0.028{col 56}{space 4} .6312508{col 69}{space 3} 10.63239
{txt}{space 11}25  {c |}{col 16}{res}{space 2} 4.298379{col 28}{space 2} 2.174637{col 39}{space 1}    1.98{col 48}{space 3}0.052{col 56}{space 4}-.0377249{col 69}{space 3} 8.634482
{txt}{space 11}26  {c |}{col 16}{res}{space 2} 5.394897{col 28}{space 2} 2.750693{col 39}{space 1}    1.96{col 48}{space 3}0.054{col 56}{space 4}-.0898294{col 69}{space 3} 10.87962
{txt}{space 11}27  {c |}{col 16}{res}{space 2} 22.41109{col 28}{space 2} 2.068586{col 39}{space 1}   10.83{col 48}{space 3}0.000{col 56}{space 4} 18.28644{col 69}{space 3} 26.53573
{txt}{space 11}28  {c |}{col 16}{res}{space 2} 4.027985{col 28}{space 2} 4.065788{col 39}{space 1}    0.99{col 48}{space 3}0.325{col 56}{space 4}-4.078966{col 69}{space 3} 12.13493
{txt}{space 11}29  {c |}{col 16}{res}{space 2} .6214245{col 28}{space 2} 3.984094{col 39}{space 1}    0.16{col 48}{space 3}0.876{col 56}{space 4}-7.322634{col 69}{space 3} 8.565483
{txt}{space 11}30  {c |}{col 16}{res}{space 2} 6.999347{col 28}{space 2} 3.169551{col 39}{space 1}    2.21{col 48}{space 3}0.030{col 56}{space 4} .6794418{col 69}{space 3} 13.31925
{txt}{space 11}33  {c |}{col 16}{res}{space 2} 1.161414{col 28}{space 2} 2.881035{col 39}{space 1}    0.40{col 48}{space 3}0.688{col 56}{space 4}-4.583207{col 69}{space 3} 6.906035
{txt}{space 11}35  {c |}{col 16}{res}{space 2} -12.1201{col 28}{space 2} 3.608915{col 39}{space 1}   -3.36{col 48}{space 3}0.001{col 56}{space 4}-19.31607{col 69}{space 3}-4.924129
{txt}{space 11}39  {c |}{col 16}{res}{space 2}-2.430511{col 28}{space 2} 6.781692{col 39}{space 1}   -0.36{col 48}{space 3}0.721{col 56}{space 4}-15.95282{col 69}{space 3}  11.0918
{txt}{space 11}40  {c |}{col 16}{res}{space 2} 6.255857{col 28}{space 2} 4.185994{col 39}{space 1}    1.49{col 48}{space 3}0.139{col 56}{space 4}-2.090779{col 69}{space 3} 14.60249
{txt}{space 11}41  {c |}{col 16}{res}{space 2} 7.298129{col 28}{space 2} 3.590239{col 39}{space 1}    2.03{col 48}{space 3}0.046{col 56}{space 4} .1393951{col 69}{space 3} 14.45686
{txt}{space 11}46  {c |}{col 16}{res}{space 2} 13.10663{col 28}{space 2} 2.839798{col 39}{space 1}    4.62{col 48}{space 3}0.000{col 56}{space 4} 7.444239{col 69}{space 3} 18.76903
{txt}{space 11}48  {c |}{col 16}{res}{space 2} 6.018982{col 28}{space 2} 2.378856{col 39}{space 1}    2.53{col 48}{space 3}0.014{col 56}{space 4} 1.275677{col 69}{space 3} 10.76229
{txt}{space 11}52  {c |}{col 16}{res}{space 2} 2.974598{col 28}{space 2} 5.455457{col 39}{space 1}    0.55{col 48}{space 3}0.587{col 56}{space 4}-7.903275{col 69}{space 3} 13.85247
{txt}{space 11}53  {c |}{col 16}{res}{space 2} 2.908502{col 28}{space 2} 2.510402{col 39}{space 1}    1.16{col 48}{space 3}0.251{col 56}{space 4}-2.097097{col 69}{space 3} 7.914101
{txt}{space 11}59  {c |}{col 16}{res}{space 2} 10.84501{col 28}{space 2} 2.301463{col 39}{space 1}    4.71{col 48}{space 3}0.000{col 56}{space 4} 6.256024{col 69}{space 3}   15.434
{txt}{space 11}60  {c |}{col 16}{res}{space 2} 6.250881{col 28}{space 2} 3.560574{col 39}{space 1}    1.76{col 48}{space 3}0.083{col 56}{space 4}-.8487013{col 69}{space 3} 13.35046
{txt}{space 11}62  {c |}{col 16}{res}{space 2} 13.61891{col 28}{space 2} 5.735679{col 39}{space 1}    2.37{col 48}{space 3}0.020{col 56}{space 4}  2.18229{col 69}{space 3} 25.05553
{txt}{space 11}63  {c |}{col 16}{res}{space 2} 1.994598{col 28}{space 2}  3.88872{col 39}{space 1}    0.51{col 48}{space 3}0.610{col 56}{space 4}-5.759289{col 69}{space 3} 9.748486
{txt}{space 11}65  {c |}{col 16}{res}{space 2}-12.43412{col 28}{space 2} 1.409027{col 39}{space 1}   -8.82{col 48}{space 3}0.000{col 56}{space 4}-15.24364{col 69}{space 3}-9.624605
{txt}{space 11}67  {c |}{col 16}{res}{space 2} 7.974544{col 28}{space 2} 1.936943{col 39}{space 1}    4.12{col 48}{space 3}0.000{col 56}{space 4} 4.112388{col 69}{space 3}  11.8367
{txt}{space 11}68  {c |}{col 16}{res}{space 2}-1.186353{col 28}{space 2} 5.296669{col 39}{space 1}   -0.22{col 48}{space 3}0.823{col 56}{space 4}-11.74761{col 69}{space 3} 9.374905
{txt}{space 11}69  {c |}{col 16}{res}{space 2} 4.375905{col 28}{space 2} 2.226207{col 39}{space 1}    1.97{col 48}{space 3}0.053{col 56}{space 4}-.0630253{col 69}{space 3} 8.814834
{txt}{space 11}70  {c |}{col 16}{res}{space 2} 8.216965{col 28}{space 2} 4.152452{col 39}{space 1}    1.98{col 48}{space 3}0.052{col 56}{space 4}-.0627891{col 69}{space 3} 16.49672
{txt}{space 11}71  {c |}{col 16}{res}{space 2}-5.042069{col 28}{space 2} 4.060927{col 39}{space 1}   -1.24{col 48}{space 3}0.218{col 56}{space 4}-13.13933{col 69}{space 3}  3.05519
{txt}{space 14} {c |}
{space 4}agetrimmed {c |}{col 16}{res}{space 2} -.083024{col 28}{space 2} .0609754{col 39}{space 1}   -1.36{col 48}{space 3}0.178{col 56}{space 4}-.2046055{col 69}{space 3} .0385574
{txt}{space 1}heighttrimmed {c |}{col 16}{res}{space 2} 3.324925{col 28}{space 2} .2052586{col 39}{space 1}   16.20{col 48}{space 3}0.000{col 56}{space 4} 2.915651{col 69}{space 3} 3.734199
{txt}{space 2}percentblack {c |}{col 16}{res}{space 2}-3.596059{col 28}{space 2}  3.66555{col 39}{space 1}   -0.98{col 48}{space 3}0.330{col 56}{space 4}-10.90496{col 69}{space 3} 3.712839
{txt}{space 3}manufoutput {c |}{col 16}{res}{space 2} .0171129{col 28}{space 2} .0079077{col 39}{space 1}    2.16{col 48}{space 3}0.034{col 56}{space 4} .0013454{col 69}{space 3} .0328804
{txt}{space 9}urban {c |}{col 16}{res}{space 2}-1.704841{col 28}{space 2} 2.785609{col 39}{space 1}   -0.61{col 48}{space 3}0.542{col 56}{space 4}-7.259187{col 69}{space 3} 3.849506
{txt}proportionfarm {c |}{col 16}{res}{space 2}-2.655583{col 28}{space 2} 1.681102{col 39}{space 1}   -1.58{col 48}{space 3}0.119{col 56}{space 4}-6.007605{col 69}{space 3} .6964381
{txt}{space 9}_cons {c |}{col 16}{res}{space 2}-81.74756{col 28}{space 2} 16.60902{col 39}{space 1}   -4.92{col 48}{space 3}0.000{col 56}{space 4} -114.865{col 69}{space 3}-48.63011
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. eststo m4: areg weighttrimmed badstate_post i.year i.state_num agetrimmed heighttrimmed percentblack manufoutput urban proportionfarm if ua_rd_sample_mean==1 & postrulinglaw~=1 , vce(cluster distancemean_7987_20) absorb(recid)
{txt}note: 15.state_num omitted because of collinearity
{txt}note: 27.state_num omitted because of collinearity
{txt}note: 29.state_num omitted because of collinearity
{txt}note: 35.state_num omitted because of collinearity
{txt}note: 52.state_num omitted because of collinearity
{txt}note: 59.state_num omitted because of collinearity
{txt}note: 63.state_num omitted because of collinearity
{txt}note: 65.state_num omitted because of collinearity
{txt}note: 70.state_num omitted because of collinearity
{txt}note: 71.state_num omitted because of collinearity
{res}
{txt}Linear regression, absorbing indicators{col 49}Number of obs{col 67}= {res}     4,032
{txt}Absorbed variable: {bf:recid}{col 49}No. of categories{col 67}= {res}     1,428
{txt}{col 49}{help j_robustsingular##|_new:F(  31,     71)}{col 67}=          {res}.
{txt}{col 49}Prob > F{col 67}=          {res}.
{txt}{col 49}R-squared{col 67}= {res}    0.9101
{txt}{col 49}Adj R-squared{col 67}= {res}    0.8587
{txt}{col 49}Root MSE{col 67}= {res}    7.4629

{txt}{ralign 80:(Std. Err. adjusted for {res:72} clusters in distancemean_7987_20)}
{hline 15}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 16}{c |}{col 28}    Robust
{col 1} weighttrimmed{col 16}{c |}      Coef.{col 28}   Std. Err.{col 40}      t{col 48}   P>|t|{col 56}     [95% Con{col 69}f. Interval]
{hline 15}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 1}badstate_post {c |}{col 16}{res}{space 2} 2.157116{col 28}{space 2}  .655896{col 39}{space 1}    3.29{col 48}{space 3}0.002{col 56}{space 4} .8492967{col 69}{space 3} 3.464936
{txt}{space 14} {c |}
{space 10}year {c |}
{space 9}1880  {c |}{col 16}{res}{space 2} .0644689{col 28}{space 2} 1.756762{col 39}{space 1}    0.04{col 48}{space 3}0.971{col 56}{space 4}-3.438414{col 69}{space 3} 3.567352
{txt}{space 9}1881  {c |}{col 16}{res}{space 2} .0459574{col 28}{space 2}  1.79089{col 39}{space 1}    0.03{col 48}{space 3}0.980{col 56}{space 4}-3.524976{col 69}{space 3} 3.616891
{txt}{space 9}1882  {c |}{col 16}{res}{space 2} .7224421{col 28}{space 2} 1.821601{col 39}{space 1}    0.40{col 48}{space 3}0.693{col 56}{space 4}-2.909728{col 69}{space 3} 4.354612
{txt}{space 9}1883  {c |}{col 16}{res}{space 2} .9378756{col 28}{space 2} 1.714915{col 39}{space 1}    0.55{col 48}{space 3}0.586{col 56}{space 4}-2.481569{col 69}{space 3}  4.35732
{txt}{space 9}1884  {c |}{col 16}{res}{space 2} .2718967{col 28}{space 2} 1.844087{col 39}{space 1}    0.15{col 48}{space 3}0.883{col 56}{space 4}-3.405109{col 69}{space 3} 3.948902
{txt}{space 9}1885  {c |}{col 16}{res}{space 2} .1014491{col 28}{space 2} 1.949052{col 39}{space 1}    0.05{col 48}{space 3}0.959{col 56}{space 4}-3.784851{col 69}{space 3} 3.987749
{txt}{space 9}1886  {c |}{col 16}{res}{space 2} 1.578386{col 28}{space 2} 1.897415{col 39}{space 1}    0.83{col 48}{space 3}0.408{col 56}{space 4}-2.204951{col 69}{space 3} 5.361724
{txt}{space 9}1887  {c |}{col 16}{res}{space 2} 1.286151{col 28}{space 2}  2.01378{col 39}{space 1}    0.64{col 48}{space 3}0.525{col 56}{space 4}-2.729214{col 69}{space 3} 5.301515
{txt}{space 14} {c |}
{space 5}state_num {c |}
{space 12}3  {c |}{col 16}{res}{space 2}  5.38145{col 28}{space 2} 1.377525{col 39}{space 1}    3.91{col 48}{space 3}0.000{col 56}{space 4} 2.634744{col 69}{space 3} 8.128157
{txt}{space 12}6  {c |}{col 16}{res}{space 2} 1.718673{col 28}{space 2} 5.036125{col 39}{space 1}    0.34{col 48}{space 3}0.734{col 56}{space 4}-8.323075{col 69}{space 3} 11.76042
{txt}{space 11}11  {c |}{col 16}{res}{space 2} 9.523196{col 28}{space 2} 2.443555{col 39}{space 1}    3.90{col 48}{space 3}0.000{col 56}{space 4} 4.650886{col 69}{space 3} 14.39551
{txt}{space 11}12  {c |}{col 16}{res}{space 2}-1.341632{col 28}{space 2} 1.015416{col 39}{space 1}   -1.32{col 48}{space 3}0.191{col 56}{space 4}-3.366315{col 69}{space 3} .6830508
{txt}{space 11}13  {c |}{col 16}{res}{space 2} 14.18155{col 28}{space 2} 3.096479{col 39}{space 1}    4.58{col 48}{space 3}0.000{col 56}{space 4}  8.00735{col 69}{space 3} 20.35576
{txt}{space 11}14  {c |}{col 16}{res}{space 2} 2.974364{col 28}{space 2}  1.80135{col 39}{space 1}    1.65{col 48}{space 3}0.103{col 56}{space 4}-.6174272{col 69}{space 3} 6.566154
{txt}{space 11}15  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}18  {c |}{col 16}{res}{space 2}-.1351867{col 28}{space 2}  2.40457{col 39}{space 1}   -0.06{col 48}{space 3}0.955{col 56}{space 4}-4.929762{col 69}{space 3} 4.659389
{txt}{space 11}25  {c |}{col 16}{res}{space 2} 1.106316{col 28}{space 2} 3.280922{col 39}{space 1}    0.34{col 48}{space 3}0.737{col 56}{space 4}-5.435657{col 69}{space 3} 7.648288
{txt}{space 11}26  {c |}{col 16}{res}{space 2}-4.631472{col 28}{space 2}  .683221{col 39}{space 1}   -6.78{col 48}{space 3}0.000{col 56}{space 4}-5.993776{col 69}{space 3}-3.269168
{txt}{space 11}27  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}28  {c |}{col 16}{res}{space 2} 2.866286{col 28}{space 2} 6.369188{col 39}{space 1}    0.45{col 48}{space 3}0.654{col 56}{space 4}-9.833514{col 69}{space 3} 15.56609
{txt}{space 11}29  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}30  {c |}{col 16}{res}{space 2} 2.438432{col 28}{space 2} 4.541512{col 39}{space 1}    0.54{col 48}{space 3}0.593{col 56}{space 4}-6.617087{col 69}{space 3} 11.49395
{txt}{space 11}33  {c |}{col 16}{res}{space 2} 5.860022{col 28}{space 2} 1.191979{col 39}{space 1}    4.92{col 48}{space 3}0.000{col 56}{space 4} 3.483283{col 69}{space 3} 8.236761
{txt}{space 11}35  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}39  {c |}{col 16}{res}{space 2}   4.0769{col 28}{space 2} 3.973164{col 39}{space 1}    1.03{col 48}{space 3}0.308{col 56}{space 4}-3.845364{col 69}{space 3} 11.99916
{txt}{space 11}40  {c |}{col 16}{res}{space 2}-2.755599{col 28}{space 2} 1.280848{col 39}{space 1}   -2.15{col 48}{space 3}0.035{col 56}{space 4}-5.309537{col 69}{space 3}-.2016603
{txt}{space 11}41  {c |}{col 16}{res}{space 2} 2.512589{col 28}{space 2} 5.047051{col 39}{space 1}    0.50{col 48}{space 3}0.620{col 56}{space 4}-7.550945{col 69}{space 3} 12.57612
{txt}{space 11}46  {c |}{col 16}{res}{space 2} 1.204362{col 28}{space 2} 5.276005{col 39}{space 1}    0.23{col 48}{space 3}0.820{col 56}{space 4}-9.315693{col 69}{space 3} 11.72442
{txt}{space 11}48  {c |}{col 16}{res}{space 2} 1.917859{col 28}{space 2} 3.509682{col 39}{space 1}    0.55{col 48}{space 3}0.586{col 56}{space 4}-5.080248{col 69}{space 3} 8.915966
{txt}{space 11}52  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}53  {c |}{col 16}{res}{space 2} 4.123735{col 28}{space 2} 3.772157{col 39}{space 1}    1.09{col 48}{space 3}0.278{col 56}{space 4}-3.397731{col 69}{space 3}  11.6452
{txt}{space 11}59  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}60  {c |}{col 16}{res}{space 2} 4.243736{col 28}{space 2} 4.054336{col 39}{space 1}    1.05{col 48}{space 3}0.299{col 56}{space 4} -3.84038{col 69}{space 3} 12.32785
{txt}{space 11}62  {c |}{col 16}{res}{space 2}-26.50451{col 28}{space 2} 1.272679{col 39}{space 1}  -20.83{col 48}{space 3}0.000{col 56}{space 4}-29.04216{col 69}{space 3}-23.96686
{txt}{space 11}63  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}65  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}67  {c |}{col 16}{res}{space 2}-3.451472{col 28}{space 2} 4.318762{col 39}{space 1}   -0.80{col 48}{space 3}0.427{col 56}{space 4}-12.06284{col 69}{space 3} 5.159895
{txt}{space 11}68  {c |}{col 16}{res}{space 2}  4.97523{col 28}{space 2} 3.327779{col 39}{space 1}    1.50{col 48}{space 3}0.139{col 56}{space 4}-1.660172{col 69}{space 3} 11.61063
{txt}{space 11}69  {c |}{col 16}{res}{space 2} 6.480249{col 28}{space 2} 3.202211{col 39}{space 1}    2.02{col 48}{space 3}0.047{col 56}{space 4} .0952217{col 69}{space 3} 12.86528
{txt}{space 11}70  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 11}71  {c |}{col 16}{res}{space 2}        0{col 28}{txt}  (omitted)
{space 14} {c |}
{space 4}agetrimmed {c |}{col 16}{res}{space 2}-.0951513{col 28}{space 2} .1036711{col 39}{space 1}   -0.92{col 48}{space 3}0.362{col 56}{space 4}-.3018655{col 69}{space 3}  .111563
{txt}{space 1}heighttrimmed {c |}{col 16}{res}{space 2} .1922997{col 28}{space 2} .1666863{col 39}{space 1}    1.15{col 48}{space 3}0.253{col 56}{space 4}-.1400634{col 69}{space 3} .5246628
{txt}{space 2}percentblack {c |}{col 16}{res}{space 2} 1.311926{col 28}{space 2}  2.24834{col 39}{space 1}    0.58{col 48}{space 3}0.561{col 56}{space 4}-3.171138{col 69}{space 3} 5.794989
{txt}{space 3}manufoutput {c |}{col 16}{res}{space 2} .0067692{col 28}{space 2} .0056558{col 39}{space 1}    1.20{col 48}{space 3}0.235{col 56}{space 4}-.0045082{col 69}{space 3} .0180465
{txt}{space 9}urban {c |}{col 16}{res}{space 2}-.6669819{col 28}{space 2} 1.638294{col 39}{space 1}   -0.41{col 48}{space 3}0.685{col 56}{space 4}-3.933647{col 69}{space 3} 2.599683
{txt}proportionfarm {c |}{col 16}{res}{space 2}  2.09921{col 28}{space 2} 1.606743{col 39}{space 1}    1.31{col 48}{space 3}0.196{col 56}{space 4}-1.104546{col 69}{space 3} 5.302965
{txt}{space 9}_cons {c |}{col 16}{res}{space 2} 135.0392{col 28}{space 2} 13.65036{col 39}{space 1}    9.89{col 48}{space 3}0.000{col 56}{space 4} 107.8212{col 69}{space 3} 162.2572
{txt}{hline 15}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. estout m1 m2 m3 m4  using Table19.tex, replace style(tex) collabels(none) mlabels("Model 1" "Model 2" "Model 3" "Model 4", span prefix(\multicolumn{c -(}@span{c )-}{c -(}c{c )-}{c -(}) suffix({c )-})) prehead("\begin{c -(}table{c )-}[htbp!]\caption{c -(}@title{c )-}" "\begin{c -(}center{c )-}" "\scriptsize" "\begin{c -(}threeparttable{c )-}"  "\begin{c -(}tabular{c )-}{c -(}l*{c -(}@M{c )-}{c -(}rr{c )-}{c )-}" "\hline")  cells(  b(star fmt(2)) se(par fmt(2)) ) starlevels(* .105 ** .05 *** .01)   s( N )  
{res}{txt}(note: file Table19.tex not found)
(output written to {browse  `"Table19.tex"'})

{com}. 
. 
. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}/Users/annaharvey/Public Safety Lab Dropbox/PubAccom/Replication Files/public_accommodations_replication.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}18 Nov 2019, 14:32:13
{txt}{.-}
{smcl}
{txt}{sf}{ul off}